# работа с данными
import pandas as pd
import numpy as np
# визуализация данных
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
Задача — построить аппликационную модель оценки вероятности предъявления по гарантии, чтобы минимизировать потери от кредитного риска. В качестве предикторов для моделирования используются анкетные данные клиента и его финансовые показатели.
# скачиваем данные
!wget https://github.com/dsbattle/hackathon-mkb/raw/master/train_dataset_hackathon_mkb.csv
!wget https://github.com/dsbattle/hackathon-mkb/raw/master/test_dataset_hackathon_mkb.csv
--2021-12-07 09:54:19-- https://github.com/dsbattle/hackathon-mkb/raw/master/train_dataset_hackathon_mkb.csv Connecting to 192.168.64.142:3128... connected. Proxy request sent, awaiting response... 302 Found Location: https://raw.githubusercontent.com/dsbattle/hackathon-mkb/master/train_dataset_hackathon_mkb.csv [following] --2021-12-07 09:54:20-- https://raw.githubusercontent.com/dsbattle/hackathon-mkb/master/train_dataset_hackathon_mkb.csv Connecting to 192.168.64.142:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 9253323 (8.8M) [text/plain] Saving to: ‘train_dataset_hackathon_mkb.csv’ train_dataset_hacka 100%[===================>] 8.82M 9.67MB/s in 0.9s 2021-12-07 09:54:22 (9.67 MB/s) - ‘train_dataset_hackathon_mkb.csv’ saved [9253323/9253323] --2021-12-07 09:54:22-- https://github.com/dsbattle/hackathon-mkb/raw/master/test_dataset_hackathon_mkb.csv Connecting to 192.168.64.142:3128... connected. Proxy request sent, awaiting response... 302 Found Location: https://raw.githubusercontent.com/dsbattle/hackathon-mkb/master/test_dataset_hackathon_mkb.csv [following] --2021-12-07 09:54:22-- https://raw.githubusercontent.com/dsbattle/hackathon-mkb/master/test_dataset_hackathon_mkb.csv Connecting to 192.168.64.142:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 3581209 (3.4M) [text/plain] Saving to: ‘test_dataset_hackathon_mkb.csv’ test_dataset_hackat 100%[===================>] 3.42M 8.11MB/s in 0.4s 2021-12-07 09:54:23 (8.11 MB/s) - ‘test_dataset_hackathon_mkb.csv’ saved [3581209/3581209]
train_df = pd.read_csv('data/train_dataset_hackathon_mkb.csv', sep=';', encoding='cp1251')
test_df = pd.read_csv('data/test_dataset_hackathon_mkb.csv', sep = ';', encoding='cp1251')
print(f'Размеры тренировочной выборки {train_df.shape}, размеры тестовой выборки {test_df.shape}')
Размеры тренировочной выборки (17891, 124), размеры тестовой выборки (7330, 123)
# кол-во пропущенных значений по каждому столбцу
for n, i in enumerate(train_df.isnull().sum()):
print(train_df.isnull().sum().index[n] + ' ' + str(i))
id_contract 0 id_client 0 SIGN_DATE 0 IP_flag 0 TARGET 0 F1100 10955 F1110 16471 F1150 11550 F1160 17545 F1170 16392 F1180 15391 F1190 16371 F1200 6041 F1210 8156 F1220 14593 F1230 6407 F1240 15035 F1250 6281 F1260 13529 F1300 6041 F1310 10187 F1320 17794 F1350 16933 F1360 16522 F1370 10396 F1400 13675 F1410 15475 F1420 15603 F1450 17160 F1500 6277 F1510 12633 F1520 6413 F1530 17139 F1550 16990 F1600 6021 F1700 6022 F2100 10341 F2110 6444 F2120 6943 F2200 6386 F2210 13235 F2220 14937 F2300 6361 F2310 17590 F2320 14971 F2330 14388 F2340 10426 F2350 7184 F2400 6381 F2410 8938 F1150_LAG1 12149 F1230_LAG1 8081 F1410_LAG1 16053 F1510_LAG1 13179 F1520_LAG1 8134 F2110_LAG1 8082 F2120_LAG1 8509 F2200_LAG1 8015 F2210_LAG1 13738 F2220_LAG1 15484 F2300_LAG1 7994 F2320_LAG1 15185 F2330_LAG1 14690 F2400_LAG1 7997 EGRPOINCLUDED 3500 DATEFIRSTREG 1334 OKFS_GROUP 3500 OKOPF_GROUP 3500 OKOGU_GROUP 3503 OKATO_REGIONCODE 1332 OKATO_FED 1336 OKTMO_CODE 1339 OKTMO_FED 1343 WORKERSRANGE 3980 TAXREG_REGDATE 1337 TAXREGPAY_REGDATE 1428 COUNTCOOWNERFCSM 3596 COUNTCOOWNERROSSTAT 3596 COUNTCOOWNEREGRUL 3596 COUNTBRANCH 3596 COUNTBRANCHROSSTAT 3596 COUNTBRANCHEGRUL 3596 TELEPHONECOUNT 3500 MANAGERCOUNTINCOUNTRY 3500 MANAGERCOUNTINREGION 3500 MANAGERINNCOUNT 3500 OKVED_CODE 1199 PLAINTIFF_CASESNUMBER_YEAR 13959 PLAINTIFF_SUM_YEAR 13959 DEFENDANT_CASESNUMBER_YEAR 13959 DEFENDANT_SUM_YEAR 13959 THIRDOROTHERPERSON_YEAR 13959 PLAINTIFF_CASESNUMBER_EVER 12749 PLAINTIFF_SUM_EVER 12749 DEFENDANT_CASESNUMBER_EVER 12749 DEFENDANT_SUM_EVER 12749 THIRDOROTHERPERSON_EVER 12749 ADMITTEDNUMBER_233_YEAR 13595 NOTADMITTEDNUMBER_233_YEAR 13595 WINNERNUMBER_233_YEAR 13595 SIGNEDNUMBER_233_YEAR 13595 SUM_233_YEAR 13595 ADMITTEDNUMBER_233_EVER 12665 NOTADMITTEDNUMBER_233_EVER 12665 WINNERNUMBER_233_EVER 12665 SIGNEDNUMBER_233_EVER 12665 SUM_233_EVER 12665 ADMITTEDNUMBER_95_YEAR 11560 NOTADMITTEDNUMBER_95_YEAR 11560 WINNERNUMBER_95_YEAR 11560 SIGNEDNUMBER_95_YEAR 11560 SUM_95_YEAR 11560 ADMITTEDNUMBER_95_EVER 11107 NOTADMITTEDNUMBER_EVER 11107 WINNERNUMBER_95_EVER 11107 SIGNEDNUMBER_95_EVER 11107 SUM_95_EVER 11107 FLAG_DISQUALIFICATION 17886 COUNT_CHANGE_YEAR 17652 COUNT_CHANGE_EVER 16382 BIRTHDATE 16472 AGE 16472 SEX_NAME 15723 CITIZENSHIP_NAME 15763
# общее кол-во пустых значений
train_df.isnull().sum().sum()
1246545
# визуализация данных
train_df.head()
| id_contract | id_client | SIGN_DATE | IP_flag | TARGET | F1100 | F1110 | F1150 | F1160 | F1170 | ... | WINNERNUMBER_95_EVER | SIGNEDNUMBER_95_EVER | SUM_95_EVER | FLAG_DISQUALIFICATION | COUNT_CHANGE_YEAR | COUNT_CHANGE_EVER | BIRTHDATE | AGE | SEX_NAME | CITIZENSHIP_NAME | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 1847 | 01JAN2018:00:00:00 | 0 | 0 | 1.298961e+09 | 2154000.0 | 1.125573e+09 | NaN | 150010000.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 1 | 2 | 4650 | 01JAN2018:00:00:00 | 1 | 0 | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 2 | 3 | 4770 | 01JAN2018:00:00:00 | 0 | 0 | 7.337400e+07 | NaN | 7.337400e+07 | NaN | NaN | ... | 169.0 | 168.0 | 18351739.0 | NaN | NaN | 1.0 | NaN | NaN | NaN | NaN |
| 3 | 4 | 12237 | 01JAN2018:00:00:00 | 0 | 0 | 1.937488e+09 | 122828000.0 | 6.103280e+08 | NaN | 809426000.0 | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
| 4 | 5 | 9988 | 01JAN2018:00:00:00 | 1 | 0 | NaN | NaN | NaN | NaN | NaN | ... | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN | NaN |
5 rows × 124 columns
train_df.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 17891 entries, 0 to 17890 Columns: 124 entries, id_contract to CITIZENSHIP_NAME dtypes: float64(108), int64(4), object(12) memory usage: 16.9+ MB
# визуализация таргета
train_df['TARGET'].value_counts().plot(kind = 'bar', color = ['blue', 'red'])
plt.title('Кол-во данных таргета');
# забираем с даты только год
import re
def data_convert(data):
return 0 if pd.isna(data) else int(re.findall('\d{4}', data)[0])
for item in ['DATEFIRSTREG', 'TAXREG_REGDATE', 'TAXREGPAY_REGDATE', 'SIGN_DATE']:
train_df[item + 'all_year'] = train_df[item].apply(data_convert)
for item in ['DATEFIRSTREG', 'SIGN_DATE', 'TAXREGPAY_REGDATE', 'TAXREG_REGDATE']:
test_df[item + 'all_year'] = test_df[item].apply(data_convert)
# Заменяем "Регистрация в налоговом органе. Дата регистрации" в 1960 году на дату регистрации ФНС.
# Выглядит более логично
train_df['TAXREGPAY_REGDATE' + 'all_year'] = train_df[['TAXREGPAY_REGDATEall_year', 'TAXREG_REGDATEall_year']].apply(lambda x: x[1] \
if int(x[1]) > 1960 else x[0], axis=1)
test_df['TAXREGPAY_REGDATE' + 'all_year'] = test_df[['TAXREGPAY_REGDATEall_year', 'TAXREG_REGDATEall_year']].apply(lambda x: x[1] \
if x[1] > 1960 else x[0], axis=1)
def makeX(data):
# предобработка данных
data['CITIZENSHIP_NAME'] = data['CITIZENSHIP_NAME'].fillna(-1).map({-1: -1, 'Российская Федерация': 4, 'Таджикистан': 3, 'Казахстан': 2, 'Армения': 1})
data['SEX_NAME'] = data['SEX_NAME'].fillna(0).map({0: 0, 'мужской': 1, 'женский': -1})
group_names = ['OKFS_GROUP', 'OKOPF_GROUP', 'OKOGU_GROUP'] + ['OKVED_CODE']
date_names = ['SIGN_DATE', 'DATEFIRSTREG', 'TAXREG_REGDATE', 'TAXREGPAY_REGDATE', 'BIRTHDATE']
for name in group_names + date_names + ['id_client']:
data[name] = data[name].fillna(-1)
tmp = data[name].value_counts()
tmp = tmp + 0.1 * np.random.randn(len(tmp))
data[name] = data[name].map(tmp)
return data
train = makeX(train_df) # обрабатываем обучение
test = makeX(test_df) # обрабатываем тест
# сохраняем ид_клиента для записи
id_client = pd.DataFrame()
id_client['id_contract'] = test['id_contract']
id_client.head()
| id_contract | |
|---|---|
| 0 | 17892 |
| 1 | 17893 |
| 2 | 17894 |
| 3 | 17895 |
| 4 | 17896 |
# Замена строки на числа
for col in ['OKFS_GROUP', 'OKOPF_GROUP', 'OKOGU_GROUP', 'OKVED_CODE']:
train[col] = train[col].astype('category')
train[col] = train[col].cat.codes
test[col] = test[col].astype('category')
test[col] = test[col].cat.codes
# Замена нулевых значений на более полулярные
def _list_max_key(mass, dataset):
result = {}
for item in mass:
result[item] = {np.nan:pd.crosstab(dataset[item], 1).sort_values(by = 1)[::-1].index[0]}
return result
a = ['COUNTCOOWNERFCSM', 'COUNTCOOWNERROSSTAT', 'COUNTCOOWNEREGRUL', 'COUNTBRANCH',
'COUNTBRANCHROSSTAT', 'COUNTBRANCHEGRUL', 'OKATO_REGIONCODE', 'OKATO_FED', 'OKTMO_FED',
'OKFS_GROUP', 'OKOPF_GROUP', 'OKOGU_GROUP', 'IP_flag']
dick_train = _list_max_key(a ,train)
dick_test = _list_max_key(a, test)
train = train.replace(dick_train)
test = test.replace(dick_test)
# численность персонала, приводим к числу
# def convert_worker(data):
# return max([int(i) for i in data.split(' ') if i.isdigit()], default = 1)
# train['WORKERSRANGE'] = train['WORKERSRANGE'].astype('str')
# train['WORKERSRANGE'] = train['WORKERSRANGE'].apply(convert_worker)
# test['WORKERSRANGE'] = test['WORKERSRANGE'].astype('str')
# test['WORKERSRANGE'] = test['WORKERSRANGE'].apply(convert_worker)
str2num = {'5000 и более': 12, '1001 .. 5000': 11, '501 .. 1000': 10, '251 .. 500': 9, '201 .. 250': 8, '151 .. 200': 7,
'101 .. 150': 6, '51 .. 100': 5, '16 .. 50': 4, '11 .. 15': 3, '6 .. 10': 2, '0 .. 5': 1}
train['WORKERSRANGE'] = train['WORKERSRANGE'].map(str2num).astype(float)
test['WORKERSRANGE'] = test['WORKERSRANGE'].map(str2num).astype(float)
_ = pd.crosstab(train['WORKERSRANGE'], 1)
fig, ax = plt.subplots(figsize = (12, 10))
sns.barplot(list(_.index), list(_[1].values))
ax.set_title('Кол-во сотрудников в компаниях по группам')
ax.set_xlabel('Группы сотрудников')
ax.set_ylabel('Кол-во групп');
/home/andrey/Neural/neuralenv/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variables as keyword args: x, y. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation. FutureWarning
def money(data):
data['debt'] = (data['F1410']+data['F1510'])
data['debt_on_profit'] = (data['F1410']+data['F1510'])/data['F2110']
data['debt_on_profit_LAG1'] = (data['F1410_LAG1']+data['F1510_LAG1'])/data['F2110_LAG1']
data['debt_on_profit_diff'] = data['debt_on_profit'] - data['debt_on_profit_LAG1']
data['debt_on_profit_diff_ratio'] = (data['debt_on_profit'] - data['debt_on_profit_LAG1'])/data['debt_on_profit']
lags = [ 'F1150_LAG1', 'F1230_LAG1', 'F1410_LAG1', 'F1510_LAG1', 'F1520_LAG1', 'F2110_LAG1', 'F2120_LAG1',
'F2200_LAG1', 'F2210_LAG1', 'F2220_LAG1', 'F2300_LAG1', 'F2320_LAG1', 'F2330_LAG1', 'F2400_LAG1']
for lag in lags:
col = lag.split('_')[0]
data[col + '_delta_ratio'] = (data[col] - data[lag])/data[col]
data['fit_on_all']=data['F2200']/data['F2110']
data['in'] = data['F1300'] + data['F2120'] + data['F2110'] + data['F1210'] + data['F2300']
data['out'] = data['F1250'] + data['F1230'] + data['F1520'] + data['F1510'] + data['F2410']
data['waste'] = data['F2350'] + data['F2210']
data['in_on_out'] = data['in']/data['out']
data['in_on_waste'] = data['in']/data['waste']
data['in_on_waste_out'] = data['in']/(data['waste'] + data['out'])
data['F_contract_count'] = data[['id_client','id_contract']].groupby('id_client', as_index=False).transform('count')
data['F_contract_count_in_day'] = data.groupby(['id_client','SIGN_DATE'])['SIGN_DATE'].transform('count')
return data
train = money(train)
test = money(test)
# замена пустых значений на 0
train.fillna(0, inplace=True)
test.fillna(0, inplace = True)
# кол-во пустых значений
train.isnull().sum().sum(), test.isnull().sum().sum()
(0, 0)
corr_matrix = train.corr()
fig, ax = plt.subplots(figsize = (100, 45))
ax = sns.heatmap(corr_matrix,
annot = True,
linewidths=0.5,
fmt = '.2f',
cmap = 'BuGn'
);
plt.figure(figsize = (20, 12))
<Figure size 1440x864 with 0 Axes>
<Figure size 1440x864 with 0 Axes>
from sklearn.model_selection import (GridSearchCV,
train_test_split,
StratifiedKFold)
from sklearn.ensemble import GradientBoostingClassifier, RandomForestClassifier, \
RandomForestRegressor, AdaBoostClassifier
from catboost import CatBoostRegressor, CatBoostClassifier
from sklearn.svm import SVC
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import roc_auc_score, accuracy_score, recall_score, \
precision_score, f1_score, classification_report, plot_roc_curve
from sklearn.metrics import roc_curve,confusion_matrix
from xgboost import XGBClassifier
# тут мы делим данные на тренировку и валидацию 80 на 20. Нужно для проверки модели
np.random.seed(42)
X = train.drop('TARGET', axis = 1)
y = train['TARGET']
df_X_train, df_X_test, df_y_train, df_y_test = train_test_split(X, y, test_size=0.2, random_state=42)
df_X_train.shape, df_y_train.shape
((14312, 155), (14312,))
# тренировка модели
model = CatBoostClassifier().fit(df_X_train, df_y_train)
plot_roc_curve(model, df_X_test, df_y_test)
Learning rate set to 0.032094 0: learn: 0.6654399 total: 60.1ms remaining: 1m 1: learn: 0.6389381 total: 79.4ms remaining: 39.6s 2: learn: 0.6100022 total: 90.7ms remaining: 30.1s 3: learn: 0.5842071 total: 102ms remaining: 25.3s 4: learn: 0.5665242 total: 112ms remaining: 22.3s 5: learn: 0.5497336 total: 122ms remaining: 20.2s 6: learn: 0.5326106 total: 132ms remaining: 18.7s 7: learn: 0.5148150 total: 143ms remaining: 17.7s 8: learn: 0.4985971 total: 154ms remaining: 17s 9: learn: 0.4854375 total: 164ms remaining: 16.3s 10: learn: 0.4698322 total: 175ms remaining: 15.7s 11: learn: 0.4595824 total: 184ms remaining: 15.2s 12: learn: 0.4490547 total: 194ms remaining: 14.8s 13: learn: 0.4382363 total: 207ms remaining: 14.6s 14: learn: 0.4287721 total: 222ms remaining: 14.6s 15: learn: 0.4205570 total: 233ms remaining: 14.3s 16: learn: 0.4135826 total: 244ms remaining: 14.1s 17: learn: 0.4042531 total: 254ms remaining: 13.9s 18: learn: 0.3982829 total: 267ms remaining: 13.8s 19: learn: 0.3938925 total: 276ms remaining: 13.5s 20: learn: 0.3866661 total: 285ms remaining: 13.3s 21: learn: 0.3814364 total: 295ms remaining: 13.1s 22: learn: 0.3767626 total: 305ms remaining: 13s 23: learn: 0.3718610 total: 316ms remaining: 12.8s 24: learn: 0.3669721 total: 325ms remaining: 12.7s 25: learn: 0.3612264 total: 336ms remaining: 12.6s 26: learn: 0.3562757 total: 346ms remaining: 12.5s 27: learn: 0.3524243 total: 356ms remaining: 12.4s 28: learn: 0.3487707 total: 366ms remaining: 12.3s 29: learn: 0.3457865 total: 376ms remaining: 12.2s 30: learn: 0.3419124 total: 386ms remaining: 12.1s 31: learn: 0.3389922 total: 395ms remaining: 12s 32: learn: 0.3355197 total: 408ms remaining: 12s 33: learn: 0.3333729 total: 424ms remaining: 12.1s 34: learn: 0.3309197 total: 435ms remaining: 12s 35: learn: 0.3278521 total: 444ms remaining: 11.9s 36: learn: 0.3255676 total: 454ms remaining: 11.8s 37: learn: 0.3237236 total: 465ms remaining: 11.8s 38: learn: 0.3210055 total: 475ms remaining: 11.7s 39: learn: 0.3188117 total: 485ms remaining: 11.6s 40: learn: 0.3169613 total: 496ms remaining: 11.6s 41: learn: 0.3145827 total: 508ms remaining: 11.6s 42: learn: 0.3123898 total: 518ms remaining: 11.5s 43: learn: 0.3109713 total: 529ms remaining: 11.5s 44: learn: 0.3092345 total: 541ms remaining: 11.5s 45: learn: 0.3075293 total: 551ms remaining: 11.4s 46: learn: 0.3051849 total: 562ms remaining: 11.4s 47: learn: 0.3038308 total: 573ms remaining: 11.4s 48: learn: 0.3021117 total: 583ms remaining: 11.3s 49: learn: 0.3006902 total: 594ms remaining: 11.3s 50: learn: 0.2993021 total: 605ms remaining: 11.3s 51: learn: 0.2983464 total: 619ms remaining: 11.3s 52: learn: 0.2974225 total: 639ms remaining: 11.4s 53: learn: 0.2966343 total: 660ms remaining: 11.6s 54: learn: 0.2955298 total: 674ms remaining: 11.6s 55: learn: 0.2945546 total: 685ms remaining: 11.5s 56: learn: 0.2936687 total: 695ms remaining: 11.5s 57: learn: 0.2919094 total: 706ms remaining: 11.5s 58: learn: 0.2912054 total: 716ms remaining: 11.4s 59: learn: 0.2904149 total: 728ms remaining: 11.4s 60: learn: 0.2892247 total: 738ms remaining: 11.4s 61: learn: 0.2877150 total: 748ms remaining: 11.3s 62: learn: 0.2868598 total: 758ms remaining: 11.3s 63: learn: 0.2859503 total: 768ms remaining: 11.2s 64: learn: 0.2851173 total: 780ms remaining: 11.2s 65: learn: 0.2840677 total: 790ms remaining: 11.2s 66: learn: 0.2834818 total: 800ms remaining: 11.1s 67: learn: 0.2826181 total: 810ms remaining: 11.1s 68: learn: 0.2821999 total: 821ms remaining: 11.1s 69: learn: 0.2814391 total: 831ms remaining: 11s 70: learn: 0.2810525 total: 848ms remaining: 11.1s 71: learn: 0.2799085 total: 862ms remaining: 11.1s 72: learn: 0.2794017 total: 872ms remaining: 11.1s 73: learn: 0.2789869 total: 883ms remaining: 11.1s 74: learn: 0.2784972 total: 895ms remaining: 11s 75: learn: 0.2777829 total: 905ms remaining: 11s 76: learn: 0.2769539 total: 915ms remaining: 11s 77: learn: 0.2761684 total: 926ms remaining: 10.9s 78: learn: 0.2755547 total: 937ms remaining: 10.9s 79: learn: 0.2749908 total: 946ms remaining: 10.9s 80: learn: 0.2742171 total: 959ms remaining: 10.9s 81: learn: 0.2737997 total: 970ms remaining: 10.9s 82: learn: 0.2733360 total: 980ms remaining: 10.8s 83: learn: 0.2728269 total: 1000ms remaining: 10.9s 84: learn: 0.2723791 total: 1.01s remaining: 10.9s 85: learn: 0.2720985 total: 1.02s remaining: 10.9s 86: learn: 0.2715755 total: 1.04s remaining: 10.9s 87: learn: 0.2709480 total: 1.05s remaining: 10.9s 88: learn: 0.2700633 total: 1.06s remaining: 10.9s 89: learn: 0.2691395 total: 1.07s remaining: 10.9s 90: learn: 0.2685851 total: 1.09s remaining: 10.8s 91: learn: 0.2680353 total: 1.1s remaining: 10.8s 92: learn: 0.2673621 total: 1.11s remaining: 10.8s 93: learn: 0.2669397 total: 1.12s remaining: 10.8s 94: learn: 0.2666401 total: 1.13s remaining: 10.8s 95: learn: 0.2661492 total: 1.14s remaining: 10.8s 96: learn: 0.2656901 total: 1.15s remaining: 10.7s 97: learn: 0.2649991 total: 1.17s remaining: 10.8s 98: learn: 0.2643352 total: 1.18s remaining: 10.7s 99: learn: 0.2639765 total: 1.19s remaining: 10.7s 100: learn: 0.2635699 total: 1.2s remaining: 10.7s 101: learn: 0.2628212 total: 1.21s remaining: 10.7s 102: learn: 0.2621104 total: 1.23s remaining: 10.7s 103: learn: 0.2616957 total: 1.24s remaining: 10.7s 104: learn: 0.2614138 total: 1.25s remaining: 10.7s 105: learn: 0.2608111 total: 1.26s remaining: 10.7s 106: learn: 0.2604770 total: 1.27s remaining: 10.6s 107: learn: 0.2601575 total: 1.28s remaining: 10.6s 108: learn: 0.2597594 total: 1.29s remaining: 10.6s 109: learn: 0.2594317 total: 1.3s remaining: 10.6s 110: learn: 0.2586275 total: 1.32s remaining: 10.5s 111: learn: 0.2582916 total: 1.33s remaining: 10.5s 112: learn: 0.2577168 total: 1.34s remaining: 10.5s 113: learn: 0.2573855 total: 1.35s remaining: 10.5s 114: learn: 0.2570561 total: 1.36s remaining: 10.5s 115: learn: 0.2566876 total: 1.37s remaining: 10.5s 116: learn: 0.2563491 total: 1.39s remaining: 10.5s 117: learn: 0.2560386 total: 1.4s remaining: 10.5s 118: learn: 0.2558163 total: 1.41s remaining: 10.4s 119: learn: 0.2555292 total: 1.42s remaining: 10.4s 120: learn: 0.2551853 total: 1.46s remaining: 10.6s 121: learn: 0.2549521 total: 1.47s remaining: 10.6s 122: learn: 0.2547973 total: 1.49s remaining: 10.6s 123: learn: 0.2544990 total: 1.5s remaining: 10.6s 124: learn: 0.2542396 total: 1.51s remaining: 10.6s 125: learn: 0.2538902 total: 1.53s remaining: 10.6s 126: learn: 0.2536677 total: 1.55s remaining: 10.6s 127: learn: 0.2534202 total: 1.55s remaining: 10.6s 128: learn: 0.2531520 total: 1.57s remaining: 10.6s 129: learn: 0.2529231 total: 1.57s remaining: 10.5s 130: learn: 0.2526163 total: 1.59s remaining: 10.5s 131: learn: 0.2522758 total: 1.6s remaining: 10.5s 132: learn: 0.2520726 total: 1.61s remaining: 10.5s 133: learn: 0.2518014 total: 1.62s remaining: 10.5s 134: learn: 0.2514570 total: 1.64s remaining: 10.5s 135: learn: 0.2511272 total: 1.66s remaining: 10.6s 136: learn: 0.2508396 total: 1.67s remaining: 10.5s 137: learn: 0.2506297 total: 1.69s remaining: 10.5s 138: learn: 0.2503974 total: 1.7s remaining: 10.5s 139: learn: 0.2502406 total: 1.71s remaining: 10.5s 140: learn: 0.2499351 total: 1.72s remaining: 10.5s 141: learn: 0.2495995 total: 1.74s remaining: 10.5s 142: learn: 0.2493881 total: 1.75s remaining: 10.5s 143: learn: 0.2491937 total: 1.76s remaining: 10.5s 144: learn: 0.2489563 total: 1.77s remaining: 10.5s 145: learn: 0.2487263 total: 1.78s remaining: 10.4s 146: learn: 0.2484342 total: 1.79s remaining: 10.4s 147: learn: 0.2479102 total: 1.8s remaining: 10.4s 148: learn: 0.2476207 total: 1.81s remaining: 10.4s 149: learn: 0.2474303 total: 1.83s remaining: 10.4s 150: learn: 0.2471250 total: 1.84s remaining: 10.4s 151: learn: 0.2465970 total: 1.85s remaining: 10.3s 152: learn: 0.2464200 total: 1.86s remaining: 10.3s 153: learn: 0.2462168 total: 1.87s remaining: 10.3s 154: learn: 0.2459187 total: 1.89s remaining: 10.3s 155: learn: 0.2457535 total: 1.89s remaining: 10.2s 156: learn: 0.2455852 total: 1.9s remaining: 10.2s 157: learn: 0.2454733 total: 1.92s remaining: 10.2s 158: learn: 0.2452544 total: 1.93s remaining: 10.2s 159: learn: 0.2449772 total: 1.94s remaining: 10.2s 160: learn: 0.2447361 total: 1.95s remaining: 10.2s 161: learn: 0.2444731 total: 1.96s remaining: 10.1s 162: learn: 0.2442796 total: 1.97s remaining: 10.1s 163: learn: 0.2440357 total: 1.98s remaining: 10.1s 164: learn: 0.2437319 total: 1.99s remaining: 10.1s 165: learn: 0.2435905 total: 2s remaining: 10.1s 166: learn: 0.2433205 total: 2.01s remaining: 10s 167: learn: 0.2431605 total: 2.02s remaining: 10s 168: learn: 0.2429597 total: 2.03s remaining: 10s 169: learn: 0.2427604 total: 2.04s remaining: 9.97s 170: learn: 0.2425364 total: 2.05s remaining: 9.95s 171: learn: 0.2423439 total: 2.06s remaining: 9.94s 172: learn: 0.2418664 total: 2.07s remaining: 9.91s 173: learn: 0.2416750 total: 2.08s remaining: 9.88s 174: learn: 0.2414108 total: 2.09s remaining: 9.87s 175: learn: 0.2407422 total: 2.1s remaining: 9.86s 176: learn: 0.2405110 total: 2.12s remaining: 9.84s 177: learn: 0.2402477 total: 2.13s remaining: 9.81s 178: learn: 0.2400049 total: 2.13s remaining: 9.79s 179: learn: 0.2397134 total: 2.15s remaining: 9.77s 180: learn: 0.2394744 total: 2.16s remaining: 9.77s 181: learn: 0.2391038 total: 2.17s remaining: 9.75s 182: learn: 0.2389198 total: 2.18s remaining: 9.73s 183: learn: 0.2386928 total: 2.2s remaining: 9.75s 184: learn: 0.2384563 total: 2.21s remaining: 9.75s 185: learn: 0.2382320 total: 2.23s remaining: 9.77s 186: learn: 0.2380391 total: 2.25s remaining: 9.79s 187: learn: 0.2378841 total: 2.27s remaining: 9.81s 188: learn: 0.2376335 total: 2.29s remaining: 9.83s 189: learn: 0.2374809 total: 2.3s remaining: 9.82s 190: learn: 0.2372666 total: 2.32s remaining: 9.85s 191: learn: 0.2371395 total: 2.34s remaining: 9.85s 192: learn: 0.2369798 total: 2.36s remaining: 9.87s 193: learn: 0.2368522 total: 2.38s remaining: 9.89s 194: learn: 0.2365905 total: 2.39s remaining: 9.87s 195: learn: 0.2362359 total: 2.4s remaining: 9.85s 196: learn: 0.2361168 total: 2.41s remaining: 9.83s 197: learn: 0.2358707 total: 2.42s remaining: 9.81s 198: learn: 0.2357506 total: 2.43s remaining: 9.79s 199: learn: 0.2355258 total: 2.44s remaining: 9.77s 200: learn: 0.2353072 total: 2.45s remaining: 9.76s 201: learn: 0.2350329 total: 2.46s remaining: 9.73s 202: learn: 0.2348086 total: 2.48s remaining: 9.72s 203: learn: 0.2345660 total: 2.48s remaining: 9.7s 204: learn: 0.2343861 total: 2.5s remaining: 9.68s 205: learn: 0.2341707 total: 2.51s remaining: 9.67s 206: learn: 0.2339801 total: 2.52s remaining: 9.65s 207: learn: 0.2338449 total: 2.53s remaining: 9.63s 208: learn: 0.2336247 total: 2.54s remaining: 9.63s 209: learn: 0.2333561 total: 2.56s remaining: 9.62s 210: learn: 0.2331822 total: 2.57s remaining: 9.62s 211: learn: 0.2329528 total: 2.58s remaining: 9.6s 212: learn: 0.2327116 total: 2.59s remaining: 9.58s 213: learn: 0.2325016 total: 2.61s remaining: 9.58s 214: learn: 0.2322996 total: 2.64s remaining: 9.63s 215: learn: 0.2320967 total: 2.65s remaining: 9.63s 216: learn: 0.2318423 total: 2.66s remaining: 9.6s 217: learn: 0.2316510 total: 2.67s remaining: 9.59s 218: learn: 0.2314739 total: 2.69s remaining: 9.58s 219: learn: 0.2313056 total: 2.69s remaining: 9.56s 220: learn: 0.2311638 total: 2.71s remaining: 9.56s 221: learn: 0.2310462 total: 2.72s remaining: 9.54s 222: learn: 0.2309394 total: 2.73s remaining: 9.52s 223: learn: 0.2307121 total: 2.74s remaining: 9.5s 224: learn: 0.2305798 total: 2.75s remaining: 9.48s 225: learn: 0.2303990 total: 2.77s remaining: 9.47s 226: learn: 0.2302981 total: 2.77s remaining: 9.45s 227: learn: 0.2301515 total: 2.78s remaining: 9.43s 228: learn: 0.2298944 total: 2.79s remaining: 9.41s 229: learn: 0.2296648 total: 2.81s remaining: 9.39s 230: learn: 0.2294460 total: 2.82s remaining: 9.38s 231: learn: 0.2292664 total: 2.83s remaining: 9.36s 232: learn: 0.2290225 total: 2.84s remaining: 9.35s 233: learn: 0.2289137 total: 2.85s remaining: 9.33s 234: learn: 0.2286638 total: 2.86s remaining: 9.31s 235: learn: 0.2284957 total: 2.87s remaining: 9.29s 236: learn: 0.2283302 total: 2.88s remaining: 9.28s 237: learn: 0.2281306 total: 2.89s remaining: 9.26s 238: learn: 0.2280010 total: 2.9s remaining: 9.24s 239: learn: 0.2278255 total: 2.91s remaining: 9.22s 240: learn: 0.2274588 total: 2.92s remaining: 9.21s 241: learn: 0.2272473 total: 2.93s remaining: 9.19s 242: learn: 0.2270905 total: 2.94s remaining: 9.17s 243: learn: 0.2269284 total: 2.96s remaining: 9.16s 244: learn: 0.2267737 total: 2.97s remaining: 9.15s 245: learn: 0.2266422 total: 2.98s remaining: 9.13s 246: learn: 0.2264379 total: 2.99s remaining: 9.11s 247: learn: 0.2261892 total: 3s remaining: 9.09s 248: learn: 0.2260569 total: 3.01s remaining: 9.07s 249: learn: 0.2259105 total: 3.02s remaining: 9.06s 250: learn: 0.2257771 total: 3.03s remaining: 9.04s 251: learn: 0.2255811 total: 3.04s remaining: 9.03s 252: learn: 0.2253402 total: 3.05s remaining: 9.01s 253: learn: 0.2252114 total: 3.06s remaining: 8.99s 254: learn: 0.2250546 total: 3.07s remaining: 8.97s 255: learn: 0.2249103 total: 3.08s remaining: 8.95s 256: learn: 0.2246968 total: 3.09s remaining: 8.93s 257: learn: 0.2245189 total: 3.1s remaining: 8.91s 258: learn: 0.2243452 total: 3.11s remaining: 8.9s 259: learn: 0.2241284 total: 3.12s remaining: 8.88s 260: learn: 0.2239282 total: 3.13s remaining: 8.87s 261: learn: 0.2238120 total: 3.14s remaining: 8.86s 262: learn: 0.2236982 total: 3.15s remaining: 8.84s 263: learn: 0.2235561 total: 3.16s remaining: 8.82s 264: learn: 0.2232616 total: 3.17s remaining: 8.8s 265: learn: 0.2230957 total: 3.18s remaining: 8.78s 266: learn: 0.2229916 total: 3.19s remaining: 8.76s 267: learn: 0.2227913 total: 3.2s remaining: 8.75s 268: learn: 0.2226110 total: 3.21s remaining: 8.73s 269: learn: 0.2224494 total: 3.22s remaining: 8.71s 270: learn: 0.2222316 total: 3.23s remaining: 8.69s 271: learn: 0.2220084 total: 3.24s remaining: 8.68s 272: learn: 0.2218791 total: 3.25s remaining: 8.66s 273: learn: 0.2217002 total: 3.26s remaining: 8.65s 274: learn: 0.2214604 total: 3.27s remaining: 8.63s 275: learn: 0.2212841 total: 3.28s remaining: 8.62s 276: learn: 0.2211519 total: 3.29s remaining: 8.6s 277: learn: 0.2210277 total: 3.3s remaining: 8.58s 278: learn: 0.2208178 total: 3.31s remaining: 8.56s 279: learn: 0.2207095 total: 3.33s remaining: 8.55s 280: learn: 0.2205112 total: 3.34s remaining: 8.54s 281: learn: 0.2204042 total: 3.35s remaining: 8.52s 282: learn: 0.2202177 total: 3.36s remaining: 8.5s 283: learn: 0.2198291 total: 3.37s remaining: 8.49s 284: learn: 0.2197215 total: 3.38s remaining: 8.47s 285: learn: 0.2195147 total: 3.39s remaining: 8.46s 286: learn: 0.2193341 total: 3.4s remaining: 8.44s 287: learn: 0.2191736 total: 3.4s remaining: 8.42s 288: learn: 0.2190058 total: 3.42s remaining: 8.4s 289: learn: 0.2187268 total: 3.43s remaining: 8.39s 290: learn: 0.2185812 total: 3.44s remaining: 8.37s 291: learn: 0.2184301 total: 3.45s remaining: 8.36s 292: learn: 0.2183124 total: 3.46s remaining: 8.34s 293: learn: 0.2182407 total: 3.47s remaining: 8.33s 294: learn: 0.2180682 total: 3.48s remaining: 8.31s 295: learn: 0.2179045 total: 3.49s remaining: 8.3s 296: learn: 0.2177215 total: 3.5s remaining: 8.28s 297: learn: 0.2175217 total: 3.51s remaining: 8.26s 298: learn: 0.2174898 total: 3.52s remaining: 8.24s 299: learn: 0.2173187 total: 3.53s remaining: 8.23s 300: learn: 0.2172098 total: 3.54s remaining: 8.21s 301: learn: 0.2170035 total: 3.54s remaining: 8.2s 302: learn: 0.2168684 total: 3.56s remaining: 8.18s 303: learn: 0.2167433 total: 3.57s remaining: 8.16s 304: learn: 0.2167174 total: 3.57s remaining: 8.14s 305: learn: 0.2164446 total: 3.58s remaining: 8.13s 306: learn: 0.2162300 total: 3.59s remaining: 8.11s 307: learn: 0.2162096 total: 3.61s remaining: 8.12s 308: learn: 0.2160479 total: 3.63s remaining: 8.11s 309: learn: 0.2158777 total: 3.64s remaining: 8.1s 310: learn: 0.2156418 total: 3.65s remaining: 8.08s 311: learn: 0.2153715 total: 3.67s remaining: 8.09s 312: learn: 0.2151559 total: 3.68s remaining: 8.09s 313: learn: 0.2150468 total: 3.73s remaining: 8.14s 314: learn: 0.2149018 total: 3.74s remaining: 8.14s 315: learn: 0.2148403 total: 3.78s remaining: 8.18s 316: learn: 0.2146666 total: 3.79s remaining: 8.18s 317: learn: 0.2144511 total: 3.81s remaining: 8.18s 318: learn: 0.2142890 total: 3.83s remaining: 8.18s 319: learn: 0.2141420 total: 3.84s remaining: 8.17s 320: learn: 0.2139619 total: 3.86s remaining: 8.16s 321: learn: 0.2137672 total: 3.87s remaining: 8.16s 322: learn: 0.2135977 total: 3.88s remaining: 8.14s 323: learn: 0.2135413 total: 3.89s remaining: 8.13s 324: learn: 0.2133370 total: 3.9s remaining: 8.11s 325: learn: 0.2132857 total: 3.91s remaining: 8.09s 326: learn: 0.2130970 total: 3.92s remaining: 8.07s 327: learn: 0.2129172 total: 3.93s remaining: 8.06s 328: learn: 0.2129023 total: 3.94s remaining: 8.05s 329: learn: 0.2127113 total: 3.96s remaining: 8.03s 330: learn: 0.2125582 total: 3.96s remaining: 8.02s 331: learn: 0.2124496 total: 3.98s remaining: 8s 332: learn: 0.2122816 total: 3.99s remaining: 7.99s 333: learn: 0.2122257 total: 4s remaining: 7.97s 334: learn: 0.2120272 total: 4s remaining: 7.95s 335: learn: 0.2118255 total: 4.01s remaining: 7.93s 336: learn: 0.2115312 total: 4.03s remaining: 7.92s 337: learn: 0.2114039 total: 4.04s remaining: 7.91s 338: learn: 0.2112358 total: 4.05s remaining: 7.89s 339: learn: 0.2110668 total: 4.06s remaining: 7.88s 340: learn: 0.2108720 total: 4.07s remaining: 7.86s 341: learn: 0.2108286 total: 4.08s remaining: 7.85s 342: learn: 0.2105090 total: 4.09s remaining: 7.83s 343: learn: 0.2103906 total: 4.1s remaining: 7.81s 344: learn: 0.2103081 total: 4.11s remaining: 7.8s 345: learn: 0.2101760 total: 4.12s remaining: 7.79s 346: learn: 0.2100351 total: 4.14s remaining: 7.78s 347: learn: 0.2099391 total: 4.15s remaining: 7.77s 348: learn: 0.2096537 total: 4.16s remaining: 7.75s 349: learn: 0.2093739 total: 4.18s remaining: 7.77s 350: learn: 0.2093085 total: 4.2s remaining: 7.76s 351: learn: 0.2091221 total: 4.2s remaining: 7.74s 352: learn: 0.2090128 total: 4.22s remaining: 7.73s 353: learn: 0.2088997 total: 4.23s remaining: 7.71s 354: learn: 0.2087740 total: 4.24s remaining: 7.7s 355: learn: 0.2085652 total: 4.25s remaining: 7.69s 356: learn: 0.2083128 total: 4.26s remaining: 7.68s 357: learn: 0.2081535 total: 4.28s remaining: 7.67s 358: learn: 0.2080074 total: 4.29s remaining: 7.66s 359: learn: 0.2078646 total: 4.3s remaining: 7.64s 360: learn: 0.2076477 total: 4.31s remaining: 7.63s 361: learn: 0.2074922 total: 4.32s remaining: 7.61s 362: learn: 0.2073139 total: 4.33s remaining: 7.6s 363: learn: 0.2072936 total: 4.34s remaining: 7.59s 364: learn: 0.2072006 total: 4.36s remaining: 7.58s 365: learn: 0.2069991 total: 4.37s remaining: 7.57s 366: learn: 0.2068514 total: 4.38s remaining: 7.56s 367: learn: 0.2065648 total: 4.39s remaining: 7.54s 368: learn: 0.2065008 total: 4.41s remaining: 7.54s 369: learn: 0.2063012 total: 4.42s remaining: 7.53s 370: learn: 0.2060999 total: 4.43s remaining: 7.52s 371: learn: 0.2059350 total: 4.44s remaining: 7.5s 372: learn: 0.2058233 total: 4.46s remaining: 7.49s 373: learn: 0.2058111 total: 4.47s remaining: 7.48s 374: learn: 0.2057048 total: 4.48s remaining: 7.47s 375: learn: 0.2055158 total: 4.49s remaining: 7.45s 376: learn: 0.2054147 total: 4.5s remaining: 7.44s 377: learn: 0.2052286 total: 4.52s remaining: 7.43s 378: learn: 0.2049589 total: 4.53s remaining: 7.42s 379: learn: 0.2049489 total: 4.54s remaining: 7.41s 380: learn: 0.2047797 total: 4.55s remaining: 7.39s 381: learn: 0.2046777 total: 4.56s remaining: 7.38s 382: learn: 0.2045094 total: 4.57s remaining: 7.37s 383: learn: 0.2043607 total: 4.58s remaining: 7.35s 384: learn: 0.2042204 total: 4.61s remaining: 7.36s 385: learn: 0.2040866 total: 4.62s remaining: 7.35s 386: learn: 0.2038903 total: 4.65s remaining: 7.37s 387: learn: 0.2037262 total: 4.73s remaining: 7.46s 388: learn: 0.2036794 total: 4.75s remaining: 7.46s 389: learn: 0.2036724 total: 4.77s remaining: 7.46s 390: learn: 0.2035119 total: 4.79s remaining: 7.45s 391: learn: 0.2033445 total: 4.8s remaining: 7.44s 392: learn: 0.2031470 total: 4.82s remaining: 7.44s 393: learn: 0.2030600 total: 4.82s remaining: 7.42s 394: learn: 0.2030515 total: 4.84s remaining: 7.41s 395: learn: 0.2029100 total: 4.85s remaining: 7.39s 396: learn: 0.2027214 total: 4.86s remaining: 7.38s 397: learn: 0.2025268 total: 4.87s remaining: 7.36s 398: learn: 0.2023886 total: 4.88s remaining: 7.35s 399: learn: 0.2022637 total: 4.89s remaining: 7.33s 400: learn: 0.2022443 total: 4.9s remaining: 7.32s 401: learn: 0.2020532 total: 4.91s remaining: 7.3s 402: learn: 0.2018559 total: 4.92s remaining: 7.29s 403: learn: 0.2016732 total: 4.93s remaining: 7.27s 404: learn: 0.2015440 total: 4.94s remaining: 7.26s 405: learn: 0.2013970 total: 4.95s remaining: 7.25s 406: learn: 0.2012179 total: 4.96s remaining: 7.23s 407: learn: 0.2011791 total: 4.97s remaining: 7.21s 408: learn: 0.2010355 total: 4.99s remaining: 7.2s 409: learn: 0.2008735 total: 5s remaining: 7.19s 410: learn: 0.2007522 total: 5.01s remaining: 7.18s 411: learn: 0.2006509 total: 5.02s remaining: 7.16s 412: learn: 0.2006402 total: 5.03s remaining: 7.16s 413: learn: 0.2004666 total: 5.05s remaining: 7.14s 414: learn: 0.2004282 total: 5.05s remaining: 7.13s 415: learn: 0.2003157 total: 5.07s remaining: 7.11s 416: learn: 0.2001882 total: 5.08s remaining: 7.1s 417: learn: 0.2001085 total: 5.09s remaining: 7.08s 418: learn: 0.1999445 total: 5.1s remaining: 7.07s 419: learn: 0.1998355 total: 5.11s remaining: 7.06s 420: learn: 0.1997184 total: 5.12s remaining: 7.04s 421: learn: 0.1995905 total: 5.13s remaining: 7.03s 422: learn: 0.1994355 total: 5.14s remaining: 7.02s 423: learn: 0.1992824 total: 5.16s remaining: 7s 424: learn: 0.1990736 total: 5.17s remaining: 6.99s 425: learn: 0.1989352 total: 5.18s remaining: 6.98s 426: learn: 0.1989291 total: 5.19s remaining: 6.97s 427: learn: 0.1989208 total: 5.2s remaining: 6.95s 428: learn: 0.1987359 total: 5.22s remaining: 6.94s 429: learn: 0.1985801 total: 5.24s remaining: 6.94s 430: learn: 0.1983864 total: 5.25s remaining: 6.94s 431: learn: 0.1981508 total: 5.28s remaining: 6.94s 432: learn: 0.1980134 total: 5.29s remaining: 6.93s 433: learn: 0.1979496 total: 5.32s remaining: 6.93s 434: learn: 0.1978331 total: 5.33s remaining: 6.93s 435: learn: 0.1977146 total: 5.35s remaining: 6.92s 436: learn: 0.1975300 total: 5.37s remaining: 6.92s 437: learn: 0.1974194 total: 5.39s remaining: 6.91s 438: learn: 0.1972187 total: 5.41s remaining: 6.91s 439: learn: 0.1970931 total: 5.42s remaining: 6.89s 440: learn: 0.1969508 total: 5.43s remaining: 6.88s 441: learn: 0.1968088 total: 5.44s remaining: 6.87s 442: learn: 0.1965330 total: 5.45s remaining: 6.85s 443: learn: 0.1963898 total: 5.46s remaining: 6.84s 444: learn: 0.1962221 total: 5.47s remaining: 6.83s 445: learn: 0.1961190 total: 5.48s remaining: 6.81s 446: learn: 0.1959540 total: 5.5s remaining: 6.8s 447: learn: 0.1958025 total: 5.51s remaining: 6.79s 448: learn: 0.1956753 total: 5.52s remaining: 6.77s 449: learn: 0.1955154 total: 5.53s remaining: 6.76s 450: learn: 0.1953076 total: 5.54s remaining: 6.75s 451: learn: 0.1951756 total: 5.55s remaining: 6.73s 452: learn: 0.1950711 total: 5.56s remaining: 6.71s 453: learn: 0.1949274 total: 5.57s remaining: 6.7s 454: learn: 0.1947532 total: 5.58s remaining: 6.69s 455: learn: 0.1946820 total: 5.61s remaining: 6.69s 456: learn: 0.1945022 total: 5.62s remaining: 6.67s 457: learn: 0.1944073 total: 5.63s remaining: 6.66s 458: learn: 0.1942657 total: 5.64s remaining: 6.65s 459: learn: 0.1940999 total: 5.65s remaining: 6.63s 460: learn: 0.1939538 total: 5.66s remaining: 6.62s 461: learn: 0.1938345 total: 5.68s remaining: 6.61s 462: learn: 0.1937162 total: 5.69s remaining: 6.6s 463: learn: 0.1935454 total: 5.7s remaining: 6.58s 464: learn: 0.1933932 total: 5.71s remaining: 6.57s 465: learn: 0.1932091 total: 5.72s remaining: 6.56s 466: learn: 0.1930953 total: 5.73s remaining: 6.54s 467: learn: 0.1929727 total: 5.74s remaining: 6.53s 468: learn: 0.1928102 total: 5.75s remaining: 6.51s 469: learn: 0.1925792 total: 5.76s remaining: 6.5s 470: learn: 0.1924569 total: 5.77s remaining: 6.49s 471: learn: 0.1923203 total: 5.79s remaining: 6.47s 472: learn: 0.1921636 total: 5.8s remaining: 6.46s 473: learn: 0.1920588 total: 5.81s remaining: 6.45s 474: learn: 0.1919017 total: 5.82s remaining: 6.43s 475: learn: 0.1918665 total: 5.83s remaining: 6.42s 476: learn: 0.1916994 total: 5.84s remaining: 6.41s 477: learn: 0.1916411 total: 5.85s remaining: 6.39s 478: learn: 0.1915520 total: 5.86s remaining: 6.38s 479: learn: 0.1914140 total: 5.88s remaining: 6.37s 480: learn: 0.1913198 total: 5.89s remaining: 6.35s 481: learn: 0.1911289 total: 5.9s remaining: 6.34s 482: learn: 0.1910351 total: 5.91s remaining: 6.32s 483: learn: 0.1908831 total: 5.92s remaining: 6.32s 484: learn: 0.1907426 total: 5.94s remaining: 6.3s 485: learn: 0.1906732 total: 5.95s remaining: 6.29s 486: learn: 0.1904331 total: 5.96s remaining: 6.28s 487: learn: 0.1902378 total: 5.97s remaining: 6.26s 488: learn: 0.1900941 total: 5.98s remaining: 6.25s 489: learn: 0.1899052 total: 5.99s remaining: 6.23s 490: learn: 0.1896453 total: 6s remaining: 6.22s 491: learn: 0.1896393 total: 6.01s remaining: 6.2s 492: learn: 0.1894795 total: 6.02s remaining: 6.19s 493: learn: 0.1893386 total: 6.03s remaining: 6.18s 494: learn: 0.1892116 total: 6.04s remaining: 6.16s 495: learn: 0.1890379 total: 6.05s remaining: 6.15s 496: learn: 0.1889478 total: 6.06s remaining: 6.14s 497: learn: 0.1888151 total: 6.08s remaining: 6.13s 498: learn: 0.1886897 total: 6.09s remaining: 6.12s 499: learn: 0.1885790 total: 6.11s remaining: 6.11s 500: learn: 0.1885021 total: 6.12s remaining: 6.09s 501: learn: 0.1883210 total: 6.13s remaining: 6.08s 502: learn: 0.1881731 total: 6.14s remaining: 6.06s 503: learn: 0.1881061 total: 6.15s remaining: 6.05s 504: learn: 0.1880862 total: 6.16s remaining: 6.03s 505: learn: 0.1879082 total: 6.17s remaining: 6.02s 506: learn: 0.1878149 total: 6.18s remaining: 6.01s 507: learn: 0.1877078 total: 6.19s remaining: 6s 508: learn: 0.1876087 total: 6.2s remaining: 5.98s 509: learn: 0.1874497 total: 6.21s remaining: 5.97s 510: learn: 0.1873518 total: 6.22s remaining: 5.95s 511: learn: 0.1871818 total: 6.23s remaining: 5.94s 512: learn: 0.1870575 total: 6.24s remaining: 5.93s 513: learn: 0.1868854 total: 6.25s remaining: 5.91s 514: learn: 0.1867361 total: 6.27s remaining: 5.9s 515: learn: 0.1866526 total: 6.28s remaining: 5.89s 516: learn: 0.1865261 total: 6.29s remaining: 5.88s 517: learn: 0.1864476 total: 6.3s remaining: 5.86s 518: learn: 0.1862716 total: 6.31s remaining: 5.85s 519: learn: 0.1861431 total: 6.32s remaining: 5.84s 520: learn: 0.1859918 total: 6.33s remaining: 5.82s 521: learn: 0.1858402 total: 6.34s remaining: 5.81s 522: learn: 0.1857319 total: 6.35s remaining: 5.79s 523: learn: 0.1855620 total: 6.36s remaining: 5.78s 524: learn: 0.1854530 total: 6.37s remaining: 5.76s 525: learn: 0.1853163 total: 6.38s remaining: 5.75s 526: learn: 0.1852246 total: 6.39s remaining: 5.74s 527: learn: 0.1851381 total: 6.4s remaining: 5.72s 528: learn: 0.1851274 total: 6.41s remaining: 5.71s 529: learn: 0.1850199 total: 6.42s remaining: 5.7s 530: learn: 0.1848729 total: 6.44s remaining: 5.68s 531: learn: 0.1848676 total: 6.45s remaining: 5.67s 532: learn: 0.1847514 total: 6.45s remaining: 5.65s 533: learn: 0.1845919 total: 6.46s remaining: 5.64s 534: learn: 0.1844490 total: 6.48s remaining: 5.63s 535: learn: 0.1842800 total: 6.49s remaining: 5.62s 536: learn: 0.1841811 total: 6.5s remaining: 5.6s 537: learn: 0.1840720 total: 6.51s remaining: 5.59s 538: learn: 0.1840675 total: 6.51s remaining: 5.57s 539: learn: 0.1838589 total: 6.52s remaining: 5.56s 540: learn: 0.1838063 total: 6.53s remaining: 5.54s 541: learn: 0.1836587 total: 6.54s remaining: 5.53s 542: learn: 0.1835666 total: 6.55s remaining: 5.52s 543: learn: 0.1834194 total: 6.56s remaining: 5.5s 544: learn: 0.1833178 total: 6.58s remaining: 5.49s 545: learn: 0.1831909 total: 6.6s remaining: 5.49s 546: learn: 0.1829808 total: 6.61s remaining: 5.47s 547: learn: 0.1828106 total: 6.62s remaining: 5.46s 548: learn: 0.1826924 total: 6.64s remaining: 5.45s 549: learn: 0.1825797 total: 6.65s remaining: 5.44s 550: learn: 0.1824842 total: 6.66s remaining: 5.43s 551: learn: 0.1823286 total: 6.67s remaining: 5.42s 552: learn: 0.1822601 total: 6.69s remaining: 5.41s 553: learn: 0.1821447 total: 6.7s remaining: 5.39s 554: learn: 0.1820275 total: 6.71s remaining: 5.38s 555: learn: 0.1819259 total: 6.72s remaining: 5.37s 556: learn: 0.1818189 total: 6.73s remaining: 5.35s 557: learn: 0.1817843 total: 6.74s remaining: 5.34s 558: learn: 0.1817091 total: 6.75s remaining: 5.33s 559: learn: 0.1815138 total: 6.76s remaining: 5.31s 560: learn: 0.1814302 total: 6.77s remaining: 5.3s 561: learn: 0.1812751 total: 6.79s remaining: 5.29s 562: learn: 0.1811316 total: 6.8s remaining: 5.28s 563: learn: 0.1809973 total: 6.81s remaining: 5.26s 564: learn: 0.1808949 total: 6.82s remaining: 5.25s 565: learn: 0.1807673 total: 6.83s remaining: 5.23s 566: learn: 0.1806448 total: 6.83s remaining: 5.22s 567: learn: 0.1805521 total: 6.84s remaining: 5.21s 568: learn: 0.1804460 total: 6.86s remaining: 5.19s 569: learn: 0.1803149 total: 6.87s remaining: 5.18s 570: learn: 0.1802152 total: 6.88s remaining: 5.17s 571: learn: 0.1800824 total: 6.88s remaining: 5.15s 572: learn: 0.1799730 total: 6.9s remaining: 5.14s 573: learn: 0.1797769 total: 6.91s remaining: 5.13s 574: learn: 0.1796554 total: 6.92s remaining: 5.12s 575: learn: 0.1795876 total: 6.93s remaining: 5.1s 576: learn: 0.1794750 total: 6.94s remaining: 5.09s 577: learn: 0.1793139 total: 6.95s remaining: 5.08s 578: learn: 0.1792355 total: 6.96s remaining: 5.06s 579: learn: 0.1791135 total: 6.97s remaining: 5.05s 580: learn: 0.1790016 total: 6.98s remaining: 5.03s 581: learn: 0.1789042 total: 6.99s remaining: 5.02s 582: learn: 0.1787867 total: 7s remaining: 5.01s 583: learn: 0.1786458 total: 7.01s remaining: 4.99s 584: learn: 0.1785345 total: 7.02s remaining: 4.98s 585: learn: 0.1784126 total: 7.03s remaining: 4.97s 586: learn: 0.1783029 total: 7.04s remaining: 4.95s 587: learn: 0.1781633 total: 7.05s remaining: 4.94s 588: learn: 0.1779900 total: 7.06s remaining: 4.93s 589: learn: 0.1779161 total: 7.07s remaining: 4.91s 590: learn: 0.1777876 total: 7.08s remaining: 4.9s 591: learn: 0.1776525 total: 7.09s remaining: 4.89s 592: learn: 0.1775734 total: 7.11s remaining: 4.88s 593: learn: 0.1774594 total: 7.12s remaining: 4.86s 594: learn: 0.1773331 total: 7.13s remaining: 4.85s 595: learn: 0.1772132 total: 7.14s remaining: 4.84s 596: learn: 0.1770700 total: 7.15s remaining: 4.83s 597: learn: 0.1768557 total: 7.16s remaining: 4.81s 598: learn: 0.1767758 total: 7.17s remaining: 4.8s 599: learn: 0.1765911 total: 7.18s remaining: 4.79s 600: learn: 0.1764658 total: 7.19s remaining: 4.78s 601: learn: 0.1763505 total: 7.2s remaining: 4.76s 602: learn: 0.1762565 total: 7.22s remaining: 4.75s 603: learn: 0.1761144 total: 7.23s remaining: 4.74s 604: learn: 0.1760357 total: 7.24s remaining: 4.72s 605: learn: 0.1758944 total: 7.25s remaining: 4.71s 606: learn: 0.1758124 total: 7.26s remaining: 4.7s 607: learn: 0.1757118 total: 7.27s remaining: 4.69s 608: learn: 0.1755722 total: 7.28s remaining: 4.67s 609: learn: 0.1755100 total: 7.29s remaining: 4.66s 610: learn: 0.1754436 total: 7.3s remaining: 4.64s 611: learn: 0.1753240 total: 7.31s remaining: 4.63s 612: learn: 0.1751979 total: 7.32s remaining: 4.62s 613: learn: 0.1751339 total: 7.33s remaining: 4.61s 614: learn: 0.1750237 total: 7.34s remaining: 4.6s 615: learn: 0.1749233 total: 7.35s remaining: 4.58s 616: learn: 0.1748237 total: 7.36s remaining: 4.57s 617: learn: 0.1747359 total: 7.37s remaining: 4.55s 618: learn: 0.1746936 total: 7.38s remaining: 4.54s 619: learn: 0.1746014 total: 7.39s remaining: 4.53s 620: learn: 0.1744913 total: 7.4s remaining: 4.52s 621: learn: 0.1743748 total: 7.41s remaining: 4.5s 622: learn: 0.1743009 total: 7.42s remaining: 4.49s 623: learn: 0.1742010 total: 7.43s remaining: 4.48s 624: learn: 0.1740941 total: 7.44s remaining: 4.47s 625: learn: 0.1739974 total: 7.45s remaining: 4.45s 626: learn: 0.1738529 total: 7.46s remaining: 4.44s 627: learn: 0.1737646 total: 7.47s remaining: 4.43s 628: learn: 0.1736742 total: 7.48s remaining: 4.41s 629: learn: 0.1735955 total: 7.49s remaining: 4.4s 630: learn: 0.1734608 total: 7.5s remaining: 4.39s 631: learn: 0.1733235 total: 7.52s remaining: 4.38s 632: learn: 0.1732333 total: 7.53s remaining: 4.37s 633: learn: 0.1731124 total: 7.54s remaining: 4.36s 634: learn: 0.1730209 total: 7.56s remaining: 4.35s 635: learn: 0.1729422 total: 7.58s remaining: 4.34s 636: learn: 0.1728623 total: 7.6s remaining: 4.33s 637: learn: 0.1728004 total: 7.62s remaining: 4.32s 638: learn: 0.1726733 total: 7.63s remaining: 4.31s 639: learn: 0.1726656 total: 7.64s remaining: 4.3s 640: learn: 0.1725709 total: 7.66s remaining: 4.29s 641: learn: 0.1724787 total: 7.67s remaining: 4.27s 642: learn: 0.1723579 total: 7.67s remaining: 4.26s 643: learn: 0.1722722 total: 7.69s remaining: 4.25s 644: learn: 0.1721128 total: 7.71s remaining: 4.24s 645: learn: 0.1720365 total: 7.73s remaining: 4.23s 646: learn: 0.1718923 total: 7.76s remaining: 4.23s 647: learn: 0.1717476 total: 7.78s remaining: 4.22s 648: learn: 0.1716706 total: 7.79s remaining: 4.21s 649: learn: 0.1715893 total: 7.8s remaining: 4.2s 650: learn: 0.1715289 total: 7.81s remaining: 4.19s 651: learn: 0.1714658 total: 7.82s remaining: 4.17s 652: learn: 0.1713737 total: 7.83s remaining: 4.16s 653: learn: 0.1713700 total: 7.84s remaining: 4.15s 654: learn: 0.1712973 total: 7.85s remaining: 4.13s 655: learn: 0.1712025 total: 7.86s remaining: 4.12s 656: learn: 0.1710672 total: 7.87s remaining: 4.11s 657: learn: 0.1709568 total: 7.88s remaining: 4.1s 658: learn: 0.1707826 total: 7.89s remaining: 4.08s 659: learn: 0.1707373 total: 7.9s remaining: 4.07s 660: learn: 0.1706378 total: 7.91s remaining: 4.06s 661: learn: 0.1705982 total: 7.92s remaining: 4.04s 662: learn: 0.1705616 total: 7.94s remaining: 4.04s 663: learn: 0.1704761 total: 7.95s remaining: 4.02s 664: learn: 0.1703922 total: 7.96s remaining: 4.01s 665: learn: 0.1702132 total: 7.97s remaining: 4s 666: learn: 0.1701379 total: 7.98s remaining: 3.98s 667: learn: 0.1700498 total: 7.99s remaining: 3.97s 668: learn: 0.1699452 total: 8s remaining: 3.96s 669: learn: 0.1698223 total: 8.01s remaining: 3.95s 670: learn: 0.1696695 total: 8.02s remaining: 3.93s 671: learn: 0.1695520 total: 8.04s remaining: 3.92s 672: learn: 0.1694579 total: 8.04s remaining: 3.91s 673: learn: 0.1693439 total: 8.05s remaining: 3.9s 674: learn: 0.1692863 total: 8.07s remaining: 3.88s 675: learn: 0.1691428 total: 8.08s remaining: 3.87s 676: learn: 0.1690220 total: 8.09s remaining: 3.86s 677: learn: 0.1689554 total: 8.1s remaining: 3.85s 678: learn: 0.1688524 total: 8.11s remaining: 3.83s 679: learn: 0.1688005 total: 8.12s remaining: 3.82s 680: learn: 0.1687333 total: 8.13s remaining: 3.81s 681: learn: 0.1685692 total: 8.14s remaining: 3.8s 682: learn: 0.1685427 total: 8.15s remaining: 3.79s 683: learn: 0.1684184 total: 8.17s remaining: 3.77s 684: learn: 0.1683607 total: 8.18s remaining: 3.76s 685: learn: 0.1682560 total: 8.19s remaining: 3.75s 686: learn: 0.1681568 total: 8.2s remaining: 3.73s 687: learn: 0.1680693 total: 8.21s remaining: 3.72s 688: learn: 0.1679605 total: 8.22s remaining: 3.71s 689: learn: 0.1678491 total: 8.23s remaining: 3.7s 690: learn: 0.1677564 total: 8.24s remaining: 3.69s 691: learn: 0.1676629 total: 8.25s remaining: 3.67s 692: learn: 0.1676291 total: 8.27s remaining: 3.66s 693: learn: 0.1675665 total: 8.28s remaining: 3.65s 694: learn: 0.1674152 total: 8.29s remaining: 3.64s 695: learn: 0.1673311 total: 8.29s remaining: 3.62s 696: learn: 0.1672545 total: 8.3s remaining: 3.61s 697: learn: 0.1670946 total: 8.32s remaining: 3.6s 698: learn: 0.1669306 total: 8.33s remaining: 3.59s 699: learn: 0.1669263 total: 8.34s remaining: 3.57s 700: learn: 0.1668372 total: 8.35s remaining: 3.56s 701: learn: 0.1667210 total: 8.36s remaining: 3.55s 702: learn: 0.1664978 total: 8.37s remaining: 3.54s 703: learn: 0.1663596 total: 8.38s remaining: 3.52s 704: learn: 0.1663269 total: 8.39s remaining: 3.51s 705: learn: 0.1662188 total: 8.4s remaining: 3.5s 706: learn: 0.1661744 total: 8.42s remaining: 3.49s 707: learn: 0.1660515 total: 8.43s remaining: 3.48s 708: learn: 0.1659585 total: 8.44s remaining: 3.46s 709: learn: 0.1658560 total: 8.45s remaining: 3.45s 710: learn: 0.1658522 total: 8.46s remaining: 3.44s 711: learn: 0.1657758 total: 8.47s remaining: 3.43s 712: learn: 0.1656849 total: 8.49s remaining: 3.42s 713: learn: 0.1655149 total: 8.5s remaining: 3.4s 714: learn: 0.1653397 total: 8.51s remaining: 3.39s 715: learn: 0.1652450 total: 8.52s remaining: 3.38s 716: learn: 0.1651553 total: 8.53s remaining: 3.37s 717: learn: 0.1651233 total: 8.54s remaining: 3.35s 718: learn: 0.1650447 total: 8.56s remaining: 3.35s 719: learn: 0.1649473 total: 8.58s remaining: 3.33s 720: learn: 0.1648293 total: 8.59s remaining: 3.32s 721: learn: 0.1647911 total: 8.6s remaining: 3.31s 722: learn: 0.1646437 total: 8.61s remaining: 3.3s 723: learn: 0.1644545 total: 8.62s remaining: 3.29s 724: learn: 0.1643806 total: 8.63s remaining: 3.27s 725: learn: 0.1642285 total: 8.64s remaining: 3.26s 726: learn: 0.1641305 total: 8.66s remaining: 3.25s 727: learn: 0.1640224 total: 8.67s remaining: 3.24s 728: learn: 0.1639224 total: 8.68s remaining: 3.23s 729: learn: 0.1638604 total: 8.69s remaining: 3.21s 730: learn: 0.1638502 total: 8.7s remaining: 3.2s 731: learn: 0.1637396 total: 8.71s remaining: 3.19s 732: learn: 0.1636855 total: 8.72s remaining: 3.18s 733: learn: 0.1635160 total: 8.73s remaining: 3.17s 734: learn: 0.1634278 total: 8.74s remaining: 3.15s 735: learn: 0.1632445 total: 8.76s remaining: 3.14s 736: learn: 0.1631438 total: 8.77s remaining: 3.13s 737: learn: 0.1630038 total: 8.81s remaining: 3.13s 738: learn: 0.1628947 total: 8.84s remaining: 3.12s 739: learn: 0.1627600 total: 8.85s remaining: 3.11s 740: learn: 0.1627154 total: 8.87s remaining: 3.1s 741: learn: 0.1626078 total: 8.88s remaining: 3.09s 742: learn: 0.1625086 total: 8.91s remaining: 3.08s 743: learn: 0.1624488 total: 8.93s remaining: 3.07s 744: learn: 0.1624251 total: 8.94s remaining: 3.06s 745: learn: 0.1622882 total: 8.95s remaining: 3.05s 746: learn: 0.1622023 total: 8.96s remaining: 3.03s 747: learn: 0.1621170 total: 8.97s remaining: 3.02s 748: learn: 0.1620559 total: 8.98s remaining: 3.01s 749: learn: 0.1619966 total: 8.99s remaining: 3s 750: learn: 0.1618754 total: 9.01s remaining: 2.99s 751: learn: 0.1617867 total: 9.02s remaining: 2.97s 752: learn: 0.1617833 total: 9.03s remaining: 2.96s 753: learn: 0.1616782 total: 9.04s remaining: 2.95s 754: learn: 0.1615654 total: 9.06s remaining: 2.94s 755: learn: 0.1614982 total: 9.07s remaining: 2.93s 756: learn: 0.1614016 total: 9.08s remaining: 2.92s 757: learn: 0.1613018 total: 9.09s remaining: 2.9s 758: learn: 0.1611628 total: 9.11s remaining: 2.89s 759: learn: 0.1610277 total: 9.12s remaining: 2.88s 760: learn: 0.1609161 total: 9.13s remaining: 2.87s 761: learn: 0.1608189 total: 9.14s remaining: 2.86s 762: learn: 0.1607079 total: 9.16s remaining: 2.84s 763: learn: 0.1606011 total: 9.17s remaining: 2.83s 764: learn: 0.1605401 total: 9.18s remaining: 2.82s 765: learn: 0.1605100 total: 9.19s remaining: 2.81s 766: learn: 0.1604263 total: 9.2s remaining: 2.79s 767: learn: 0.1602408 total: 9.21s remaining: 2.78s 768: learn: 0.1602054 total: 9.22s remaining: 2.77s 769: learn: 0.1601036 total: 9.23s remaining: 2.76s 770: learn: 0.1600220 total: 9.24s remaining: 2.75s 771: learn: 0.1599443 total: 9.26s remaining: 2.73s 772: learn: 0.1598845 total: 9.27s remaining: 2.72s 773: learn: 0.1597979 total: 9.28s remaining: 2.71s 774: learn: 0.1597397 total: 9.29s remaining: 2.7s 775: learn: 0.1596951 total: 9.29s remaining: 2.68s 776: learn: 0.1596025 total: 9.31s remaining: 2.67s 777: learn: 0.1595253 total: 9.32s remaining: 2.66s 778: learn: 0.1594362 total: 9.32s remaining: 2.65s 779: learn: 0.1593499 total: 9.34s remaining: 2.63s 780: learn: 0.1592803 total: 9.36s remaining: 2.62s 781: learn: 0.1592008 total: 9.37s remaining: 2.61s 782: learn: 0.1590743 total: 9.38s remaining: 2.6s 783: learn: 0.1590246 total: 9.39s remaining: 2.59s 784: learn: 0.1589083 total: 9.4s remaining: 2.58s 785: learn: 0.1589052 total: 9.41s remaining: 2.56s 786: learn: 0.1588423 total: 9.42s remaining: 2.55s 787: learn: 0.1587539 total: 9.43s remaining: 2.54s 788: learn: 0.1586306 total: 9.44s remaining: 2.52s 789: learn: 0.1585176 total: 9.45s remaining: 2.51s 790: learn: 0.1584010 total: 9.46s remaining: 2.5s 791: learn: 0.1583411 total: 9.47s remaining: 2.49s 792: learn: 0.1582039 total: 9.48s remaining: 2.48s 793: learn: 0.1581177 total: 9.49s remaining: 2.46s 794: learn: 0.1580213 total: 9.5s remaining: 2.45s 795: learn: 0.1579940 total: 9.51s remaining: 2.44s 796: learn: 0.1578961 total: 9.52s remaining: 2.42s 797: learn: 0.1577881 total: 9.54s remaining: 2.41s 798: learn: 0.1576634 total: 9.56s remaining: 2.41s 799: learn: 0.1575937 total: 9.58s remaining: 2.4s 800: learn: 0.1574842 total: 9.6s remaining: 2.38s 801: learn: 0.1574637 total: 9.61s remaining: 2.37s 802: learn: 0.1573464 total: 9.62s remaining: 2.36s 803: learn: 0.1572438 total: 9.63s remaining: 2.35s 804: learn: 0.1571335 total: 9.64s remaining: 2.33s 805: learn: 0.1570713 total: 9.65s remaining: 2.32s 806: learn: 0.1570060 total: 9.66s remaining: 2.31s 807: learn: 0.1568795 total: 9.67s remaining: 2.3s 808: learn: 0.1567625 total: 9.68s remaining: 2.29s 809: learn: 0.1566604 total: 9.69s remaining: 2.27s 810: learn: 0.1565383 total: 9.7s remaining: 2.26s 811: learn: 0.1564430 total: 9.71s remaining: 2.25s 812: learn: 0.1563410 total: 9.72s remaining: 2.24s 813: learn: 0.1563380 total: 9.73s remaining: 2.22s 814: learn: 0.1562469 total: 9.75s remaining: 2.21s 815: learn: 0.1561318 total: 9.76s remaining: 2.2s 816: learn: 0.1560328 total: 9.79s remaining: 2.19s 817: learn: 0.1559442 total: 9.8s remaining: 2.18s 818: learn: 0.1558248 total: 9.82s remaining: 2.17s 819: learn: 0.1557219 total: 9.85s remaining: 2.16s 820: learn: 0.1556140 total: 9.87s remaining: 2.15s 821: learn: 0.1555547 total: 9.89s remaining: 2.14s 822: learn: 0.1554972 total: 9.91s remaining: 2.13s 823: learn: 0.1554251 total: 9.93s remaining: 2.12s 824: learn: 0.1553477 total: 9.93s remaining: 2.11s 825: learn: 0.1552594 total: 9.95s remaining: 2.1s 826: learn: 0.1552566 total: 9.95s remaining: 2.08s 827: learn: 0.1551341 total: 9.96s remaining: 2.07s 828: learn: 0.1550380 total: 9.97s remaining: 2.06s 829: learn: 0.1549757 total: 9.98s remaining: 2.04s 830: learn: 0.1548863 total: 10s remaining: 2.03s 831: learn: 0.1547941 total: 10s remaining: 2.02s 832: learn: 0.1547148 total: 10s remaining: 2.01s 833: learn: 0.1546173 total: 10s remaining: 2s 834: learn: 0.1545689 total: 10s remaining: 1.98s 835: learn: 0.1544687 total: 10.1s remaining: 1.97s 836: learn: 0.1544291 total: 10.1s remaining: 1.96s 837: learn: 0.1543629 total: 10.1s remaining: 1.95s 838: learn: 0.1543329 total: 10.1s remaining: 1.94s 839: learn: 0.1542345 total: 10.1s remaining: 1.93s 840: learn: 0.1541678 total: 10.1s remaining: 1.92s 841: learn: 0.1540500 total: 10.2s remaining: 1.91s 842: learn: 0.1539339 total: 10.2s remaining: 1.9s 843: learn: 0.1538489 total: 10.2s remaining: 1.89s 844: learn: 0.1537981 total: 10.2s remaining: 1.87s 845: learn: 0.1536676 total: 10.2s remaining: 1.86s 846: learn: 0.1535822 total: 10.2s remaining: 1.85s 847: learn: 0.1534989 total: 10.2s remaining: 1.84s 848: learn: 0.1534147 total: 10.3s remaining: 1.82s 849: learn: 0.1532946 total: 10.3s remaining: 1.81s 850: learn: 0.1532400 total: 10.3s remaining: 1.8s 851: learn: 0.1531550 total: 10.3s remaining: 1.79s 852: learn: 0.1530972 total: 10.3s remaining: 1.77s 853: learn: 0.1529913 total: 10.3s remaining: 1.76s 854: learn: 0.1529332 total: 10.3s remaining: 1.75s 855: learn: 0.1528759 total: 10.3s remaining: 1.74s 856: learn: 0.1528722 total: 10.3s remaining: 1.72s 857: learn: 0.1528154 total: 10.3s remaining: 1.71s 858: learn: 0.1527312 total: 10.4s remaining: 1.7s 859: learn: 0.1525942 total: 10.4s remaining: 1.69s 860: learn: 0.1524700 total: 10.4s remaining: 1.68s 861: learn: 0.1524611 total: 10.4s remaining: 1.66s 862: learn: 0.1523503 total: 10.4s remaining: 1.65s 863: learn: 0.1522774 total: 10.4s remaining: 1.64s 864: learn: 0.1522378 total: 10.4s remaining: 1.63s 865: learn: 0.1520777 total: 10.5s remaining: 1.62s 866: learn: 0.1519757 total: 10.5s remaining: 1.61s 867: learn: 0.1518637 total: 10.5s remaining: 1.6s 868: learn: 0.1518047 total: 10.5s remaining: 1.59s 869: learn: 0.1516819 total: 10.6s remaining: 1.58s 870: learn: 0.1515574 total: 10.6s remaining: 1.57s 871: learn: 0.1514909 total: 10.6s remaining: 1.56s 872: learn: 0.1514011 total: 10.6s remaining: 1.55s 873: learn: 0.1512650 total: 10.6s remaining: 1.53s 874: learn: 0.1512120 total: 10.7s remaining: 1.52s 875: learn: 0.1510980 total: 10.7s remaining: 1.51s 876: learn: 0.1510362 total: 10.7s remaining: 1.5s 877: learn: 0.1510136 total: 10.7s remaining: 1.49s 878: learn: 0.1509223 total: 10.7s remaining: 1.47s 879: learn: 0.1508375 total: 10.7s remaining: 1.46s 880: learn: 0.1507244 total: 10.7s remaining: 1.45s 881: learn: 0.1506489 total: 10.7s remaining: 1.44s 882: learn: 0.1504938 total: 10.7s remaining: 1.42s 883: learn: 0.1503473 total: 10.8s remaining: 1.41s 884: learn: 0.1502491 total: 10.8s remaining: 1.4s 885: learn: 0.1501446 total: 10.8s remaining: 1.39s 886: learn: 0.1501269 total: 10.8s remaining: 1.38s 887: learn: 0.1500312 total: 10.8s remaining: 1.36s 888: learn: 0.1499989 total: 10.8s remaining: 1.35s 889: learn: 0.1499028 total: 10.8s remaining: 1.34s 890: learn: 0.1498964 total: 10.8s remaining: 1.32s 891: learn: 0.1498225 total: 10.8s remaining: 1.31s 892: learn: 0.1497482 total: 10.9s remaining: 1.3s 893: learn: 0.1496816 total: 10.9s remaining: 1.29s 894: learn: 0.1496786 total: 10.9s remaining: 1.28s 895: learn: 0.1496053 total: 10.9s remaining: 1.26s 896: learn: 0.1495441 total: 10.9s remaining: 1.25s 897: learn: 0.1494815 total: 10.9s remaining: 1.24s 898: learn: 0.1493888 total: 10.9s remaining: 1.23s 899: learn: 0.1493745 total: 10.9s remaining: 1.21s 900: learn: 0.1493127 total: 10.9s remaining: 1.2s 901: learn: 0.1493104 total: 10.9s remaining: 1.19s 902: learn: 0.1492479 total: 11s remaining: 1.18s 903: learn: 0.1491653 total: 11s remaining: 1.17s 904: learn: 0.1491233 total: 11s remaining: 1.15s 905: learn: 0.1489862 total: 11s remaining: 1.14s 906: learn: 0.1488802 total: 11s remaining: 1.13s 907: learn: 0.1488777 total: 11s remaining: 1.11s 908: learn: 0.1487629 total: 11s remaining: 1.1s 909: learn: 0.1486880 total: 11s remaining: 1.09s 910: learn: 0.1485748 total: 11s remaining: 1.08s 911: learn: 0.1484710 total: 11.1s remaining: 1.07s 912: learn: 0.1483985 total: 11.1s remaining: 1.05s 913: learn: 0.1482744 total: 11.1s remaining: 1.04s 914: learn: 0.1481610 total: 11.1s remaining: 1.03s 915: learn: 0.1480858 total: 11.1s remaining: 1.02s 916: learn: 0.1479858 total: 11.1s remaining: 1s 917: learn: 0.1479333 total: 11.1s remaining: 993ms 918: learn: 0.1478538 total: 11.1s remaining: 981ms 919: learn: 0.1477354 total: 11.1s remaining: 968ms 920: learn: 0.1476403 total: 11.1s remaining: 956ms 921: learn: 0.1475421 total: 11.2s remaining: 944ms 922: learn: 0.1474572 total: 11.2s remaining: 932ms 923: learn: 0.1473997 total: 11.2s remaining: 920ms 924: learn: 0.1473368 total: 11.2s remaining: 907ms 925: learn: 0.1472647 total: 11.2s remaining: 895ms 926: learn: 0.1471773 total: 11.2s remaining: 883ms 927: learn: 0.1470398 total: 11.2s remaining: 871ms 928: learn: 0.1469255 total: 11.2s remaining: 859ms 929: learn: 0.1468491 total: 11.3s remaining: 848ms 930: learn: 0.1467138 total: 11.3s remaining: 837ms 931: learn: 0.1466481 total: 11.3s remaining: 825ms 932: learn: 0.1465971 total: 11.3s remaining: 813ms 933: learn: 0.1465411 total: 11.3s remaining: 801ms 934: learn: 0.1464712 total: 11.4s remaining: 790ms 935: learn: 0.1463628 total: 11.4s remaining: 778ms 936: learn: 0.1463273 total: 11.4s remaining: 766ms 937: learn: 0.1461939 total: 11.4s remaining: 755ms 938: learn: 0.1461212 total: 11.4s remaining: 743ms 939: learn: 0.1460514 total: 11.5s remaining: 731ms 940: learn: 0.1459615 total: 11.5s remaining: 720ms 941: learn: 0.1459343 total: 11.5s remaining: 707ms 942: learn: 0.1458629 total: 11.5s remaining: 695ms 943: learn: 0.1457920 total: 11.5s remaining: 683ms 944: learn: 0.1457212 total: 11.5s remaining: 671ms 945: learn: 0.1456504 total: 11.5s remaining: 659ms 946: learn: 0.1455375 total: 11.6s remaining: 647ms 947: learn: 0.1454889 total: 11.6s remaining: 635ms 948: learn: 0.1453995 total: 11.6s remaining: 622ms 949: learn: 0.1453001 total: 11.6s remaining: 610ms 950: learn: 0.1452274 total: 11.6s remaining: 598ms 951: learn: 0.1451466 total: 11.6s remaining: 585ms 952: learn: 0.1450433 total: 11.6s remaining: 573ms 953: learn: 0.1449685 total: 11.6s remaining: 561ms 954: learn: 0.1449033 total: 11.6s remaining: 549ms 955: learn: 0.1448413 total: 11.7s remaining: 536ms 956: learn: 0.1447840 total: 11.7s remaining: 524ms 957: learn: 0.1446924 total: 11.7s remaining: 512ms 958: learn: 0.1446071 total: 11.7s remaining: 499ms 959: learn: 0.1445051 total: 11.7s remaining: 487ms 960: learn: 0.1444276 total: 11.7s remaining: 475ms 961: learn: 0.1443941 total: 11.7s remaining: 464ms 962: learn: 0.1443686 total: 11.8s remaining: 452ms 963: learn: 0.1442915 total: 11.8s remaining: 441ms 964: learn: 0.1442217 total: 11.8s remaining: 429ms 965: learn: 0.1441207 total: 11.8s remaining: 417ms 966: learn: 0.1440925 total: 11.9s remaining: 405ms 967: learn: 0.1440269 total: 11.9s remaining: 393ms 968: learn: 0.1440245 total: 11.9s remaining: 381ms 969: learn: 0.1439296 total: 11.9s remaining: 368ms 970: learn: 0.1438743 total: 11.9s remaining: 356ms 971: learn: 0.1437605 total: 11.9s remaining: 344ms 972: learn: 0.1437012 total: 11.9s remaining: 331ms 973: learn: 0.1436292 total: 11.9s remaining: 319ms 974: learn: 0.1436271 total: 12s remaining: 307ms 975: learn: 0.1435269 total: 12s remaining: 294ms 976: learn: 0.1435246 total: 12s remaining: 282ms 977: learn: 0.1434636 total: 12s remaining: 270ms 978: learn: 0.1433671 total: 12s remaining: 257ms 979: learn: 0.1432581 total: 12s remaining: 245ms 980: learn: 0.1431513 total: 12s remaining: 233ms 981: learn: 0.1430704 total: 12s remaining: 221ms 982: learn: 0.1429820 total: 12s remaining: 208ms 983: learn: 0.1428531 total: 12.1s remaining: 196ms 984: learn: 0.1428135 total: 12.1s remaining: 184ms 985: learn: 0.1427394 total: 12.1s remaining: 171ms 986: learn: 0.1426896 total: 12.1s remaining: 159ms 987: learn: 0.1425361 total: 12.1s remaining: 147ms 988: learn: 0.1425337 total: 12.1s remaining: 135ms 989: learn: 0.1424405 total: 12.1s remaining: 122ms 990: learn: 0.1423455 total: 12.1s remaining: 110ms 991: learn: 0.1422512 total: 12.1s remaining: 97.8ms 992: learn: 0.1421867 total: 12.1s remaining: 85.6ms 993: learn: 0.1421245 total: 12.2s remaining: 73.3ms 994: learn: 0.1419928 total: 12.2s remaining: 61.1ms 995: learn: 0.1419385 total: 12.2s remaining: 48.9ms 996: learn: 0.1417977 total: 12.2s remaining: 36.7ms 997: learn: 0.1416803 total: 12.2s remaining: 24.4ms 998: learn: 0.1415670 total: 12.2s remaining: 12.2ms 999: learn: 0.1415079 total: 12.2s remaining: 0us
<sklearn.metrics._plot.roc_curve.RocCurveDisplay at 0x7ffa5c3f2a20>
kek_pred = model.predict(df_X_test)
print("Roc_auc_score = " + str(roc_auc_score(df_y_test, kek_pred)))
Roc_auc_score = 0.8997710903099757
# тренировка лучших моделей
np.random.seed(42)
model = CatBoostClassifier().fit(X, y)
test['TARGET'] = np.log(model.predict_proba(test)[:, 1])
test[['id_contract', 'TARGET']].to_csv('submit_file_last.csv', sep=';', index=False)
test[['id_contract', 'TARGET']].head()
test = test.drop('TARGET', axis = 1)
Learning rate set to 0.035303 0: learn: 0.6601621 total: 18.1ms remaining: 18.1s 1: learn: 0.6317786 total: 31.6ms remaining: 15.8s 2: learn: 0.6006531 total: 42.1ms remaining: 14s 3: learn: 0.5747227 total: 52.8ms remaining: 13.1s 4: learn: 0.5551567 total: 65.3ms remaining: 13s 5: learn: 0.5347633 total: 75.4ms remaining: 12.5s 6: learn: 0.5182496 total: 88.5ms remaining: 12.6s 7: learn: 0.5002880 total: 100ms remaining: 12.4s 8: learn: 0.4836181 total: 113ms remaining: 12.4s 9: learn: 0.4677838 total: 124ms remaining: 12.3s 10: learn: 0.4541896 total: 134ms remaining: 12.1s 11: learn: 0.4440909 total: 146ms remaining: 12.1s 12: learn: 0.4339532 total: 157ms remaining: 11.9s 13: learn: 0.4234722 total: 168ms remaining: 11.8s 14: learn: 0.4149635 total: 180ms remaining: 11.8s 15: learn: 0.4077328 total: 193ms remaining: 11.9s 16: learn: 0.4004601 total: 209ms remaining: 12.1s 17: learn: 0.3909289 total: 222ms remaining: 12.1s 18: learn: 0.3845880 total: 232ms remaining: 12s 19: learn: 0.3795501 total: 245ms remaining: 12s 20: learn: 0.3720831 total: 256ms remaining: 11.9s 21: learn: 0.3672719 total: 267ms remaining: 11.9s 22: learn: 0.3604875 total: 278ms remaining: 11.8s 23: learn: 0.3569397 total: 289ms remaining: 11.8s 24: learn: 0.3525260 total: 300ms remaining: 11.7s 25: learn: 0.3481647 total: 310ms remaining: 11.6s 26: learn: 0.3448348 total: 320ms remaining: 11.5s 27: learn: 0.3410846 total: 331ms remaining: 11.5s 28: learn: 0.3382326 total: 344ms remaining: 11.5s 29: learn: 0.3354123 total: 355ms remaining: 11.5s 30: learn: 0.3323324 total: 366ms remaining: 11.4s 31: learn: 0.3295973 total: 378ms remaining: 11.4s 32: learn: 0.3268935 total: 389ms remaining: 11.4s 33: learn: 0.3241713 total: 399ms remaining: 11.3s 34: learn: 0.3219054 total: 414ms remaining: 11.4s 35: learn: 0.3196401 total: 435ms remaining: 11.6s 36: learn: 0.3176895 total: 446ms remaining: 11.6s 37: learn: 0.3154340 total: 458ms remaining: 11.6s 38: learn: 0.3131818 total: 468ms remaining: 11.5s 39: learn: 0.3111144 total: 478ms remaining: 11.5s 40: learn: 0.3093959 total: 488ms remaining: 11.4s 41: learn: 0.3072998 total: 501ms remaining: 11.4s 42: learn: 0.3052912 total: 516ms remaining: 11.5s 43: learn: 0.3031299 total: 530ms remaining: 11.5s 44: learn: 0.3014641 total: 543ms remaining: 11.5s 45: learn: 0.2999891 total: 554ms remaining: 11.5s 46: learn: 0.2981931 total: 565ms remaining: 11.4s 47: learn: 0.2968782 total: 577ms remaining: 11.4s 48: learn: 0.2956934 total: 589ms remaining: 11.4s 49: learn: 0.2947225 total: 600ms remaining: 11.4s 50: learn: 0.2933448 total: 611ms remaining: 11.4s 51: learn: 0.2921109 total: 623ms remaining: 11.4s 52: learn: 0.2904674 total: 638ms remaining: 11.4s 53: learn: 0.2896683 total: 650ms remaining: 11.4s 54: learn: 0.2882472 total: 660ms remaining: 11.3s 55: learn: 0.2873588 total: 671ms remaining: 11.3s 56: learn: 0.2867467 total: 681ms remaining: 11.3s 57: learn: 0.2850498 total: 693ms remaining: 11.3s 58: learn: 0.2844147 total: 704ms remaining: 11.2s 59: learn: 0.2836716 total: 718ms remaining: 11.2s 60: learn: 0.2825141 total: 728ms remaining: 11.2s 61: learn: 0.2817401 total: 740ms remaining: 11.2s 62: learn: 0.2809048 total: 751ms remaining: 11.2s 63: learn: 0.2800597 total: 761ms remaining: 11.1s 64: learn: 0.2792272 total: 774ms remaining: 11.1s 65: learn: 0.2781718 total: 784ms remaining: 11.1s 66: learn: 0.2777042 total: 794ms remaining: 11.1s 67: learn: 0.2771992 total: 807ms remaining: 11.1s 68: learn: 0.2762108 total: 817ms remaining: 11s 69: learn: 0.2754953 total: 834ms remaining: 11.1s 70: learn: 0.2749275 total: 850ms remaining: 11.1s 71: learn: 0.2741297 total: 860ms remaining: 11.1s 72: learn: 0.2736510 total: 872ms remaining: 11.1s 73: learn: 0.2730264 total: 883ms remaining: 11s 74: learn: 0.2722237 total: 893ms remaining: 11s 75: learn: 0.2718279 total: 906ms remaining: 11s 76: learn: 0.2715238 total: 916ms remaining: 11s 77: learn: 0.2710115 total: 927ms remaining: 11s 78: learn: 0.2705150 total: 938ms remaining: 10.9s 79: learn: 0.2701073 total: 948ms remaining: 10.9s 80: learn: 0.2694113 total: 959ms remaining: 10.9s 81: learn: 0.2685943 total: 976ms remaining: 10.9s 82: learn: 0.2679947 total: 991ms remaining: 10.9s 83: learn: 0.2675250 total: 1s remaining: 10.9s 84: learn: 0.2670772 total: 1.01s remaining: 10.9s 85: learn: 0.2667351 total: 1.03s remaining: 10.9s 86: learn: 0.2663168 total: 1.04s remaining: 10.9s 87: learn: 0.2658465 total: 1.05s remaining: 10.9s 88: learn: 0.2652875 total: 1.07s remaining: 11s 89: learn: 0.2645706 total: 1.08s remaining: 10.9s 90: learn: 0.2640417 total: 1.09s remaining: 10.9s 91: learn: 0.2636394 total: 1.1s remaining: 10.9s 92: learn: 0.2630886 total: 1.11s remaining: 10.9s 93: learn: 0.2628070 total: 1.13s remaining: 10.8s 94: learn: 0.2623906 total: 1.14s remaining: 10.8s 95: learn: 0.2621269 total: 1.15s remaining: 10.8s 96: learn: 0.2617175 total: 1.16s remaining: 10.8s 97: learn: 0.2612443 total: 1.17s remaining: 10.8s 98: learn: 0.2608885 total: 1.18s remaining: 10.7s 99: learn: 0.2604921 total: 1.19s remaining: 10.7s 100: learn: 0.2598184 total: 1.2s remaining: 10.7s 101: learn: 0.2594259 total: 1.21s remaining: 10.7s 102: learn: 0.2589657 total: 1.22s remaining: 10.7s 103: learn: 0.2583868 total: 1.24s remaining: 10.6s 104: learn: 0.2580995 total: 1.25s remaining: 10.6s 105: learn: 0.2577396 total: 1.26s remaining: 10.7s 106: learn: 0.2573951 total: 1.27s remaining: 10.6s 107: learn: 0.2571262 total: 1.28s remaining: 10.6s 108: learn: 0.2568047 total: 1.29s remaining: 10.6s 109: learn: 0.2565682 total: 1.3s remaining: 10.6s 110: learn: 0.2558082 total: 1.32s remaining: 10.6s 111: learn: 0.2554905 total: 1.33s remaining: 10.5s 112: learn: 0.2549293 total: 1.34s remaining: 10.5s 113: learn: 0.2545883 total: 1.35s remaining: 10.5s 114: learn: 0.2541969 total: 1.36s remaining: 10.5s 115: learn: 0.2538547 total: 1.38s remaining: 10.5s 116: learn: 0.2536371 total: 1.39s remaining: 10.5s 117: learn: 0.2533157 total: 1.4s remaining: 10.5s 118: learn: 0.2530069 total: 1.41s remaining: 10.4s 119: learn: 0.2525560 total: 1.42s remaining: 10.4s 120: learn: 0.2521918 total: 1.43s remaining: 10.4s 121: learn: 0.2518344 total: 1.44s remaining: 10.4s 122: learn: 0.2516301 total: 1.46s remaining: 10.4s 123: learn: 0.2513946 total: 1.49s remaining: 10.5s 124: learn: 0.2510578 total: 1.51s remaining: 10.5s 125: learn: 0.2505818 total: 1.52s remaining: 10.6s 126: learn: 0.2502968 total: 1.53s remaining: 10.6s 127: learn: 0.2500573 total: 1.55s remaining: 10.6s 128: learn: 0.2499080 total: 1.56s remaining: 10.6s 129: learn: 0.2497024 total: 1.58s remaining: 10.5s 130: learn: 0.2494654 total: 1.59s remaining: 10.5s 131: learn: 0.2492188 total: 1.6s remaining: 10.5s 132: learn: 0.2489753 total: 1.62s remaining: 10.6s 133: learn: 0.2485118 total: 1.63s remaining: 10.5s 134: learn: 0.2482226 total: 1.64s remaining: 10.5s 135: learn: 0.2479115 total: 1.65s remaining: 10.5s 136: learn: 0.2476490 total: 1.67s remaining: 10.5s 137: learn: 0.2473529 total: 1.68s remaining: 10.5s 138: learn: 0.2469224 total: 1.7s remaining: 10.5s 139: learn: 0.2466736 total: 1.72s remaining: 10.5s 140: learn: 0.2462985 total: 1.73s remaining: 10.5s 141: learn: 0.2459223 total: 1.74s remaining: 10.5s 142: learn: 0.2457019 total: 1.75s remaining: 10.5s 143: learn: 0.2451585 total: 1.76s remaining: 10.5s 144: learn: 0.2449178 total: 1.78s remaining: 10.5s 145: learn: 0.2447330 total: 1.79s remaining: 10.5s 146: learn: 0.2444678 total: 1.8s remaining: 10.5s 147: learn: 0.2441927 total: 1.81s remaining: 10.5s 148: learn: 0.2437355 total: 1.83s remaining: 10.5s 149: learn: 0.2434324 total: 1.84s remaining: 10.4s 150: learn: 0.2432531 total: 1.85s remaining: 10.4s 151: learn: 0.2429778 total: 1.86s remaining: 10.4s 152: learn: 0.2427524 total: 1.88s remaining: 10.4s 153: learn: 0.2424534 total: 1.89s remaining: 10.4s 154: learn: 0.2419102 total: 1.91s remaining: 10.4s 155: learn: 0.2415626 total: 1.92s remaining: 10.4s 156: learn: 0.2413647 total: 1.93s remaining: 10.4s 157: learn: 0.2410440 total: 1.95s remaining: 10.4s 158: learn: 0.2408589 total: 1.95s remaining: 10.3s 159: learn: 0.2405931 total: 1.97s remaining: 10.3s 160: learn: 0.2403474 total: 1.98s remaining: 10.3s 161: learn: 0.2401006 total: 1.99s remaining: 10.3s 162: learn: 0.2399199 total: 2s remaining: 10.3s 163: learn: 0.2395378 total: 2.01s remaining: 10.3s 164: learn: 0.2393535 total: 2.02s remaining: 10.2s 165: learn: 0.2391444 total: 2.04s remaining: 10.2s 166: learn: 0.2389589 total: 2.05s remaining: 10.2s 167: learn: 0.2387632 total: 2.06s remaining: 10.2s 168: learn: 0.2386041 total: 2.07s remaining: 10.2s 169: learn: 0.2384212 total: 2.09s remaining: 10.2s 170: learn: 0.2382185 total: 2.1s remaining: 10.2s 171: learn: 0.2379952 total: 2.11s remaining: 10.2s 172: learn: 0.2376661 total: 2.12s remaining: 10.2s 173: learn: 0.2375356 total: 2.13s remaining: 10.1s 174: learn: 0.2373504 total: 2.15s remaining: 10.1s 175: learn: 0.2372123 total: 2.16s remaining: 10.1s 176: learn: 0.2370467 total: 2.17s remaining: 10.1s 177: learn: 0.2367940 total: 2.18s remaining: 10.1s 178: learn: 0.2365658 total: 2.19s remaining: 10.1s 179: learn: 0.2364006 total: 2.21s remaining: 10.1s 180: learn: 0.2362620 total: 2.22s remaining: 10s 181: learn: 0.2359745 total: 2.23s remaining: 10s 182: learn: 0.2357345 total: 2.25s remaining: 10s 183: learn: 0.2355245 total: 2.26s remaining: 10s 184: learn: 0.2353954 total: 2.27s remaining: 9.99s 185: learn: 0.2351769 total: 2.31s remaining: 10.1s 186: learn: 0.2350424 total: 2.34s remaining: 10.2s 187: learn: 0.2348721 total: 2.35s remaining: 10.2s 188: learn: 0.2344656 total: 2.37s remaining: 10.2s 189: learn: 0.2342973 total: 2.39s remaining: 10.2s 190: learn: 0.2340705 total: 2.4s remaining: 10.2s 191: learn: 0.2339185 total: 2.42s remaining: 10.2s 192: learn: 0.2337908 total: 2.43s remaining: 10.2s 193: learn: 0.2336156 total: 2.44s remaining: 10.2s 194: learn: 0.2333145 total: 2.46s remaining: 10.1s 195: learn: 0.2330578 total: 2.47s remaining: 10.1s 196: learn: 0.2329149 total: 2.48s remaining: 10.1s 197: learn: 0.2327606 total: 2.51s remaining: 10.2s 198: learn: 0.2326297 total: 2.52s remaining: 10.2s 199: learn: 0.2324059 total: 2.54s remaining: 10.2s 200: learn: 0.2320975 total: 2.55s remaining: 10.1s 201: learn: 0.2318251 total: 2.56s remaining: 10.1s 202: learn: 0.2315468 total: 2.57s remaining: 10.1s 203: learn: 0.2313866 total: 2.58s remaining: 10.1s 204: learn: 0.2312700 total: 2.59s remaining: 10s 205: learn: 0.2310740 total: 2.6s remaining: 10s 206: learn: 0.2308612 total: 2.62s remaining: 10s 207: learn: 0.2307321 total: 2.63s remaining: 10s 208: learn: 0.2305079 total: 2.64s remaining: 9.99s 209: learn: 0.2303288 total: 2.65s remaining: 9.97s 210: learn: 0.2301672 total: 2.66s remaining: 9.96s 211: learn: 0.2299615 total: 2.68s remaining: 9.96s 212: learn: 0.2298304 total: 2.69s remaining: 9.94s 213: learn: 0.2296586 total: 2.71s remaining: 9.94s 214: learn: 0.2294582 total: 2.71s remaining: 9.91s 215: learn: 0.2292784 total: 2.73s remaining: 9.9s 216: learn: 0.2290465 total: 2.74s remaining: 9.9s 217: learn: 0.2288135 total: 2.76s remaining: 9.89s 218: learn: 0.2286099 total: 2.77s remaining: 9.88s 219: learn: 0.2284646 total: 2.78s remaining: 9.86s 220: learn: 0.2283108 total: 2.79s remaining: 9.85s 221: learn: 0.2281524 total: 2.81s remaining: 9.84s 222: learn: 0.2280444 total: 2.82s remaining: 9.83s 223: learn: 0.2278751 total: 2.83s remaining: 9.82s 224: learn: 0.2276487 total: 2.85s remaining: 9.8s 225: learn: 0.2274969 total: 2.86s remaining: 9.78s 226: learn: 0.2272850 total: 2.87s remaining: 9.77s 227: learn: 0.2271539 total: 2.88s remaining: 9.75s 228: learn: 0.2270152 total: 2.89s remaining: 9.73s 229: learn: 0.2267897 total: 2.9s remaining: 9.71s 230: learn: 0.2265970 total: 2.91s remaining: 9.7s 231: learn: 0.2264634 total: 2.92s remaining: 9.67s 232: learn: 0.2261707 total: 2.93s remaining: 9.66s 233: learn: 0.2260933 total: 2.94s remaining: 9.64s 234: learn: 0.2259673 total: 2.95s remaining: 9.62s 235: learn: 0.2258501 total: 2.97s remaining: 9.6s 236: learn: 0.2257080 total: 2.98s remaining: 9.58s 237: learn: 0.2255579 total: 2.99s remaining: 9.56s 238: learn: 0.2253927 total: 3s remaining: 9.55s 239: learn: 0.2251418 total: 3.01s remaining: 9.53s 240: learn: 0.2247891 total: 3.02s remaining: 9.52s 241: learn: 0.2246146 total: 3.03s remaining: 9.5s 242: learn: 0.2244938 total: 3.05s remaining: 9.49s 243: learn: 0.2243684 total: 3.06s remaining: 9.47s 244: learn: 0.2242316 total: 3.07s remaining: 9.46s 245: learn: 0.2240858 total: 3.08s remaining: 9.44s 246: learn: 0.2239546 total: 3.09s remaining: 9.43s 247: learn: 0.2237045 total: 3.1s remaining: 9.41s 248: learn: 0.2235345 total: 3.11s remaining: 9.39s 249: learn: 0.2234206 total: 3.12s remaining: 9.37s 250: learn: 0.2232657 total: 3.14s remaining: 9.36s 251: learn: 0.2231507 total: 3.15s remaining: 9.34s 252: learn: 0.2227317 total: 3.17s remaining: 9.35s 253: learn: 0.2226446 total: 3.18s remaining: 9.35s 254: learn: 0.2225268 total: 3.19s remaining: 9.33s 255: learn: 0.2222874 total: 3.21s remaining: 9.32s 256: learn: 0.2221614 total: 3.21s remaining: 9.3s 257: learn: 0.2219956 total: 3.23s remaining: 9.28s 258: learn: 0.2217964 total: 3.24s remaining: 9.26s 259: learn: 0.2215695 total: 3.25s remaining: 9.24s 260: learn: 0.2214203 total: 3.26s remaining: 9.23s 261: learn: 0.2212653 total: 3.27s remaining: 9.21s 262: learn: 0.2211710 total: 3.28s remaining: 9.19s 263: learn: 0.2210271 total: 3.31s remaining: 9.22s 264: learn: 0.2208335 total: 3.32s remaining: 9.22s 265: learn: 0.2207287 total: 3.33s remaining: 9.2s 266: learn: 0.2205668 total: 3.35s remaining: 9.19s 267: learn: 0.2204132 total: 3.36s remaining: 9.17s 268: learn: 0.2202720 total: 3.37s remaining: 9.15s 269: learn: 0.2201138 total: 3.38s remaining: 9.13s 270: learn: 0.2198469 total: 3.39s remaining: 9.12s 271: learn: 0.2196330 total: 3.4s remaining: 9.1s 272: learn: 0.2194015 total: 3.41s remaining: 9.09s 273: learn: 0.2192996 total: 3.42s remaining: 9.07s 274: learn: 0.2191876 total: 3.43s remaining: 9.05s 275: learn: 0.2190713 total: 3.44s remaining: 9.03s 276: learn: 0.2189197 total: 3.45s remaining: 9.01s 277: learn: 0.2187675 total: 3.46s remaining: 9s 278: learn: 0.2185930 total: 3.48s remaining: 9s 279: learn: 0.2184958 total: 3.5s remaining: 8.99s 280: learn: 0.2183530 total: 3.51s remaining: 8.98s 281: learn: 0.2182026 total: 3.52s remaining: 8.96s 282: learn: 0.2180708 total: 3.53s remaining: 8.94s 283: learn: 0.2178891 total: 3.54s remaining: 8.93s 284: learn: 0.2175741 total: 3.55s remaining: 8.91s 285: learn: 0.2174193 total: 3.57s remaining: 8.91s 286: learn: 0.2172506 total: 3.58s remaining: 8.9s 287: learn: 0.2168660 total: 3.6s remaining: 8.9s 288: learn: 0.2167241 total: 3.61s remaining: 8.88s 289: learn: 0.2165556 total: 3.62s remaining: 8.86s 290: learn: 0.2164699 total: 3.63s remaining: 8.85s 291: learn: 0.2162524 total: 3.64s remaining: 8.83s 292: learn: 0.2160320 total: 3.65s remaining: 8.81s 293: learn: 0.2159309 total: 3.66s remaining: 8.79s 294: learn: 0.2157685 total: 3.67s remaining: 8.78s 295: learn: 0.2155255 total: 3.69s remaining: 8.77s 296: learn: 0.2153654 total: 3.7s remaining: 8.75s 297: learn: 0.2151828 total: 3.71s remaining: 8.73s 298: learn: 0.2151292 total: 3.72s remaining: 8.71s 299: learn: 0.2149392 total: 3.73s remaining: 8.7s 300: learn: 0.2147727 total: 3.74s remaining: 8.69s 301: learn: 0.2145594 total: 3.75s remaining: 8.67s 302: learn: 0.2143931 total: 3.76s remaining: 8.65s 303: learn: 0.2140631 total: 3.77s remaining: 8.64s 304: learn: 0.2139663 total: 3.78s remaining: 8.62s 305: learn: 0.2137553 total: 3.8s remaining: 8.61s 306: learn: 0.2136081 total: 3.81s remaining: 8.6s 307: learn: 0.2135473 total: 3.82s remaining: 8.58s 308: learn: 0.2133399 total: 3.83s remaining: 8.56s 309: learn: 0.2132240 total: 3.84s remaining: 8.55s 310: learn: 0.2129963 total: 3.85s remaining: 8.53s 311: learn: 0.2129723 total: 3.86s remaining: 8.52s 312: learn: 0.2127981 total: 3.87s remaining: 8.5s 313: learn: 0.2126085 total: 3.88s remaining: 8.48s 314: learn: 0.2123746 total: 3.9s remaining: 8.47s 315: learn: 0.2122300 total: 3.91s remaining: 8.46s 316: learn: 0.2120421 total: 3.92s remaining: 8.44s 317: learn: 0.2119239 total: 3.93s remaining: 8.43s 318: learn: 0.2118075 total: 3.94s remaining: 8.41s 319: learn: 0.2115827 total: 3.95s remaining: 8.39s 320: learn: 0.2114248 total: 3.96s remaining: 8.38s 321: learn: 0.2111996 total: 3.97s remaining: 8.36s 322: learn: 0.2110739 total: 3.98s remaining: 8.35s 323: learn: 0.2109534 total: 3.99s remaining: 8.33s 324: learn: 0.2108328 total: 4s remaining: 8.31s 325: learn: 0.2106656 total: 4.01s remaining: 8.3s 326: learn: 0.2105238 total: 4.02s remaining: 8.28s 327: learn: 0.2104711 total: 4.04s remaining: 8.27s 328: learn: 0.2102918 total: 4.05s remaining: 8.25s 329: learn: 0.2101501 total: 4.06s remaining: 8.24s 330: learn: 0.2099955 total: 4.07s remaining: 8.23s 331: learn: 0.2098019 total: 4.08s remaining: 8.21s 332: learn: 0.2097148 total: 4.09s remaining: 8.2s 333: learn: 0.2096436 total: 4.1s remaining: 8.18s 334: learn: 0.2093886 total: 4.11s remaining: 8.16s 335: learn: 0.2092486 total: 4.12s remaining: 8.15s 336: learn: 0.2091532 total: 4.13s remaining: 8.13s 337: learn: 0.2090132 total: 4.14s remaining: 8.12s 338: learn: 0.2089047 total: 4.15s remaining: 8.1s 339: learn: 0.2087312 total: 4.17s remaining: 8.09s 340: learn: 0.2085824 total: 4.18s remaining: 8.07s 341: learn: 0.2085556 total: 4.19s remaining: 8.06s 342: learn: 0.2083440 total: 4.2s remaining: 8.05s 343: learn: 0.2082390 total: 4.21s remaining: 8.03s 344: learn: 0.2080406 total: 4.22s remaining: 8.02s 345: learn: 0.2078185 total: 4.23s remaining: 8s 346: learn: 0.2076597 total: 4.24s remaining: 7.99s 347: learn: 0.2075634 total: 4.25s remaining: 7.97s 348: learn: 0.2074279 total: 4.26s remaining: 7.95s 349: learn: 0.2072796 total: 4.27s remaining: 7.94s 350: learn: 0.2071344 total: 4.28s remaining: 7.92s 351: learn: 0.2069187 total: 4.29s remaining: 7.91s 352: learn: 0.2068091 total: 4.3s remaining: 7.89s 353: learn: 0.2067084 total: 4.32s remaining: 7.88s 354: learn: 0.2065422 total: 4.33s remaining: 7.86s 355: learn: 0.2064025 total: 4.34s remaining: 7.85s 356: learn: 0.2062829 total: 4.35s remaining: 7.84s 357: learn: 0.2061271 total: 4.36s remaining: 7.82s 358: learn: 0.2059972 total: 4.37s remaining: 7.8s 359: learn: 0.2058579 total: 4.38s remaining: 7.79s 360: learn: 0.2056548 total: 4.39s remaining: 7.77s 361: learn: 0.2054248 total: 4.4s remaining: 7.76s 362: learn: 0.2052505 total: 4.41s remaining: 7.75s 363: learn: 0.2052422 total: 4.42s remaining: 7.73s 364: learn: 0.2050647 total: 4.43s remaining: 7.71s 365: learn: 0.2049545 total: 4.44s remaining: 7.7s 366: learn: 0.2047982 total: 4.45s remaining: 7.68s 367: learn: 0.2045410 total: 4.47s remaining: 7.68s 368: learn: 0.2044415 total: 4.49s remaining: 7.67s 369: learn: 0.2043213 total: 4.5s remaining: 7.66s 370: learn: 0.2042192 total: 4.51s remaining: 7.64s 371: learn: 0.2040090 total: 4.52s remaining: 7.63s 372: learn: 0.2037874 total: 4.53s remaining: 7.62s 373: learn: 0.2036179 total: 4.54s remaining: 7.6s 374: learn: 0.2033948 total: 4.55s remaining: 7.59s 375: learn: 0.2032513 total: 4.57s remaining: 7.58s 376: learn: 0.2031400 total: 4.58s remaining: 7.56s 377: learn: 0.2030193 total: 4.59s remaining: 7.55s 378: learn: 0.2028760 total: 4.6s remaining: 7.53s 379: learn: 0.2027488 total: 4.61s remaining: 7.52s 380: learn: 0.2025910 total: 4.62s remaining: 7.5s 381: learn: 0.2024540 total: 4.63s remaining: 7.49s 382: learn: 0.2023377 total: 4.64s remaining: 7.47s 383: learn: 0.2021923 total: 4.65s remaining: 7.46s 384: learn: 0.2021265 total: 4.66s remaining: 7.44s 385: learn: 0.2019723 total: 4.67s remaining: 7.43s 386: learn: 0.2018560 total: 4.68s remaining: 7.42s 387: learn: 0.2017222 total: 4.7s remaining: 7.41s 388: learn: 0.2016177 total: 4.71s remaining: 7.39s 389: learn: 0.2014831 total: 4.72s remaining: 7.38s 390: learn: 0.2013478 total: 4.73s remaining: 7.36s 391: learn: 0.2012340 total: 4.74s remaining: 7.35s 392: learn: 0.2010673 total: 4.75s remaining: 7.33s 393: learn: 0.2009553 total: 4.76s remaining: 7.32s 394: learn: 0.2008344 total: 4.77s remaining: 7.31s 395: learn: 0.2008235 total: 4.78s remaining: 7.29s 396: learn: 0.2006831 total: 4.79s remaining: 7.28s 397: learn: 0.2005274 total: 4.8s remaining: 7.27s 398: learn: 0.2003495 total: 4.81s remaining: 7.25s 399: learn: 0.2002036 total: 4.83s remaining: 7.24s 400: learn: 0.2000948 total: 4.83s remaining: 7.22s 401: learn: 0.1999592 total: 4.84s remaining: 7.21s 402: learn: 0.1998618 total: 4.86s remaining: 7.19s 403: learn: 0.1998547 total: 4.87s remaining: 7.18s 404: learn: 0.1997005 total: 4.88s remaining: 7.17s 405: learn: 0.1995478 total: 4.89s remaining: 7.15s 406: learn: 0.1994130 total: 4.9s remaining: 7.13s 407: learn: 0.1992842 total: 4.91s remaining: 7.12s 408: learn: 0.1990887 total: 4.92s remaining: 7.11s 409: learn: 0.1989352 total: 4.93s remaining: 7.09s 410: learn: 0.1988367 total: 4.94s remaining: 7.08s 411: learn: 0.1987141 total: 4.95s remaining: 7.06s 412: learn: 0.1985700 total: 4.96s remaining: 7.05s 413: learn: 0.1984380 total: 4.97s remaining: 7.03s 414: learn: 0.1982129 total: 4.98s remaining: 7.02s 415: learn: 0.1981102 total: 4.99s remaining: 7.01s 416: learn: 0.1979911 total: 5s remaining: 6.99s 417: learn: 0.1979067 total: 5.01s remaining: 6.98s 418: learn: 0.1978924 total: 5.02s remaining: 6.96s 419: learn: 0.1977492 total: 5.03s remaining: 6.95s 420: learn: 0.1976187 total: 5.04s remaining: 6.94s 421: learn: 0.1975125 total: 5.05s remaining: 6.92s 422: learn: 0.1973529 total: 5.06s remaining: 6.91s 423: learn: 0.1971937 total: 5.08s remaining: 6.89s 424: learn: 0.1971736 total: 5.08s remaining: 6.88s 425: learn: 0.1971597 total: 5.09s remaining: 6.86s 426: learn: 0.1970066 total: 5.1s remaining: 6.85s 427: learn: 0.1968683 total: 5.11s remaining: 6.83s 428: learn: 0.1967210 total: 5.12s remaining: 6.82s 429: learn: 0.1965905 total: 5.13s remaining: 6.8s 430: learn: 0.1964919 total: 5.14s remaining: 6.79s 431: learn: 0.1963964 total: 5.15s remaining: 6.78s 432: learn: 0.1962536 total: 5.17s remaining: 6.76s 433: learn: 0.1961336 total: 5.17s remaining: 6.75s 434: learn: 0.1960032 total: 5.19s remaining: 6.74s 435: learn: 0.1958483 total: 5.2s remaining: 6.73s 436: learn: 0.1957418 total: 5.21s remaining: 6.71s 437: learn: 0.1955887 total: 5.22s remaining: 6.7s 438: learn: 0.1955024 total: 5.23s remaining: 6.68s 439: learn: 0.1953210 total: 5.24s remaining: 6.67s 440: learn: 0.1952313 total: 5.26s remaining: 6.66s 441: learn: 0.1950859 total: 5.27s remaining: 6.65s 442: learn: 0.1949961 total: 5.28s remaining: 6.64s 443: learn: 0.1949217 total: 5.29s remaining: 6.63s 444: learn: 0.1947312 total: 5.3s remaining: 6.61s 445: learn: 0.1946296 total: 5.31s remaining: 6.6s 446: learn: 0.1943928 total: 5.32s remaining: 6.58s 447: learn: 0.1942441 total: 5.33s remaining: 6.57s 448: learn: 0.1941222 total: 5.34s remaining: 6.56s 449: learn: 0.1941143 total: 5.36s remaining: 6.54s 450: learn: 0.1939400 total: 5.36s remaining: 6.53s 451: learn: 0.1938467 total: 5.37s remaining: 6.51s 452: learn: 0.1937492 total: 5.38s remaining: 6.5s 453: learn: 0.1936061 total: 5.4s remaining: 6.49s 454: learn: 0.1934087 total: 5.41s remaining: 6.48s 455: learn: 0.1932987 total: 5.42s remaining: 6.46s 456: learn: 0.1931759 total: 5.43s remaining: 6.45s 457: learn: 0.1930456 total: 5.44s remaining: 6.44s 458: learn: 0.1929585 total: 5.46s remaining: 6.43s 459: learn: 0.1928517 total: 5.47s remaining: 6.42s 460: learn: 0.1926965 total: 5.48s remaining: 6.41s 461: learn: 0.1925777 total: 5.5s remaining: 6.4s 462: learn: 0.1924134 total: 5.51s remaining: 6.39s 463: learn: 0.1923219 total: 5.52s remaining: 6.38s 464: learn: 0.1921841 total: 5.53s remaining: 6.36s 465: learn: 0.1919808 total: 5.54s remaining: 6.35s 466: learn: 0.1919117 total: 5.55s remaining: 6.34s 467: learn: 0.1918373 total: 5.56s remaining: 6.32s 468: learn: 0.1917227 total: 5.57s remaining: 6.31s 469: learn: 0.1916213 total: 5.58s remaining: 6.3s 470: learn: 0.1914921 total: 5.59s remaining: 6.28s 471: learn: 0.1914323 total: 5.6s remaining: 6.27s 472: learn: 0.1912929 total: 5.62s remaining: 6.26s 473: learn: 0.1911581 total: 5.63s remaining: 6.24s 474: learn: 0.1910402 total: 5.64s remaining: 6.23s 475: learn: 0.1909118 total: 5.65s remaining: 6.22s 476: learn: 0.1907802 total: 5.66s remaining: 6.21s 477: learn: 0.1906320 total: 5.67s remaining: 6.19s 478: learn: 0.1905020 total: 5.68s remaining: 6.18s 479: learn: 0.1904802 total: 5.69s remaining: 6.17s 480: learn: 0.1903784 total: 5.7s remaining: 6.15s 481: learn: 0.1902909 total: 5.71s remaining: 6.14s 482: learn: 0.1901298 total: 5.73s remaining: 6.13s 483: learn: 0.1899480 total: 5.74s remaining: 6.12s 484: learn: 0.1898243 total: 5.75s remaining: 6.11s 485: learn: 0.1897192 total: 5.76s remaining: 6.09s 486: learn: 0.1896037 total: 5.77s remaining: 6.08s 487: learn: 0.1894874 total: 5.78s remaining: 6.07s 488: learn: 0.1893800 total: 5.79s remaining: 6.05s 489: learn: 0.1892040 total: 5.81s remaining: 6.05s 490: learn: 0.1890193 total: 5.82s remaining: 6.03s 491: learn: 0.1889557 total: 5.83s remaining: 6.02s 492: learn: 0.1888285 total: 5.84s remaining: 6.01s 493: learn: 0.1887130 total: 5.85s remaining: 5.99s 494: learn: 0.1885368 total: 5.86s remaining: 5.98s 495: learn: 0.1884489 total: 5.87s remaining: 5.97s 496: learn: 0.1883773 total: 5.88s remaining: 5.95s 497: learn: 0.1881405 total: 5.89s remaining: 5.94s 498: learn: 0.1879870 total: 5.9s remaining: 5.93s 499: learn: 0.1879125 total: 5.91s remaining: 5.91s 500: learn: 0.1878003 total: 5.92s remaining: 5.9s 501: learn: 0.1877436 total: 5.93s remaining: 5.89s 502: learn: 0.1875626 total: 5.95s remaining: 5.88s 503: learn: 0.1874516 total: 5.96s remaining: 5.86s 504: learn: 0.1872729 total: 5.97s remaining: 5.85s 505: learn: 0.1871191 total: 5.98s remaining: 5.84s 506: learn: 0.1869364 total: 5.99s remaining: 5.82s 507: learn: 0.1868041 total: 6s remaining: 5.81s 508: learn: 0.1866733 total: 6.01s remaining: 5.8s 509: learn: 0.1866426 total: 6.02s remaining: 5.79s 510: learn: 0.1865566 total: 6.04s remaining: 5.78s 511: learn: 0.1864771 total: 6.05s remaining: 5.76s 512: learn: 0.1863393 total: 6.05s remaining: 5.75s 513: learn: 0.1862089 total: 6.07s remaining: 5.74s 514: learn: 0.1860873 total: 6.08s remaining: 5.72s 515: learn: 0.1860060 total: 6.08s remaining: 5.71s 516: learn: 0.1858751 total: 6.1s remaining: 5.7s 517: learn: 0.1856749 total: 6.11s remaining: 5.68s 518: learn: 0.1856030 total: 6.12s remaining: 5.67s 519: learn: 0.1854319 total: 6.13s remaining: 5.66s 520: learn: 0.1853730 total: 6.14s remaining: 5.64s 521: learn: 0.1853015 total: 6.15s remaining: 5.63s 522: learn: 0.1852066 total: 6.16s remaining: 5.62s 523: learn: 0.1850179 total: 6.17s remaining: 5.61s 524: learn: 0.1849159 total: 6.18s remaining: 5.59s 525: learn: 0.1848448 total: 6.2s remaining: 5.58s 526: learn: 0.1847838 total: 6.21s remaining: 5.57s 527: learn: 0.1847162 total: 6.22s remaining: 5.56s 528: learn: 0.1845289 total: 6.23s remaining: 5.54s 529: learn: 0.1844746 total: 6.24s remaining: 5.53s 530: learn: 0.1843057 total: 6.25s remaining: 5.52s 531: learn: 0.1842332 total: 6.26s remaining: 5.51s 532: learn: 0.1841605 total: 6.27s remaining: 5.49s 533: learn: 0.1840004 total: 6.28s remaining: 5.48s 534: learn: 0.1839821 total: 6.29s remaining: 5.47s 535: learn: 0.1838567 total: 6.3s remaining: 5.46s 536: learn: 0.1837638 total: 6.31s remaining: 5.44s 537: learn: 0.1836711 total: 6.33s remaining: 5.43s 538: learn: 0.1835140 total: 6.34s remaining: 5.42s 539: learn: 0.1833365 total: 6.35s remaining: 5.41s 540: learn: 0.1832042 total: 6.36s remaining: 5.4s 541: learn: 0.1831590 total: 6.37s remaining: 5.38s 542: learn: 0.1831435 total: 6.38s remaining: 5.37s 543: learn: 0.1829849 total: 6.4s remaining: 5.36s 544: learn: 0.1827675 total: 6.41s remaining: 5.35s 545: learn: 0.1827011 total: 6.42s remaining: 5.34s 546: learn: 0.1825827 total: 6.43s remaining: 5.33s 547: learn: 0.1824990 total: 6.45s remaining: 5.32s 548: learn: 0.1824291 total: 6.47s remaining: 5.31s 549: learn: 0.1823463 total: 6.48s remaining: 5.3s 550: learn: 0.1823387 total: 6.49s remaining: 5.29s 551: learn: 0.1823210 total: 6.5s remaining: 5.27s 552: learn: 0.1821983 total: 6.51s remaining: 5.26s 553: learn: 0.1821834 total: 6.52s remaining: 5.25s 554: learn: 0.1820306 total: 6.53s remaining: 5.24s 555: learn: 0.1819274 total: 6.54s remaining: 5.22s 556: learn: 0.1817978 total: 6.55s remaining: 5.21s 557: learn: 0.1816530 total: 6.56s remaining: 5.2s 558: learn: 0.1815693 total: 6.57s remaining: 5.18s 559: learn: 0.1814848 total: 6.58s remaining: 5.17s 560: learn: 0.1813469 total: 6.59s remaining: 5.16s 561: learn: 0.1812193 total: 6.6s remaining: 5.15s 562: learn: 0.1810795 total: 6.61s remaining: 5.13s 563: learn: 0.1809511 total: 6.63s remaining: 5.12s 564: learn: 0.1808256 total: 6.63s remaining: 5.11s 565: learn: 0.1807257 total: 6.65s remaining: 5.1s 566: learn: 0.1806309 total: 6.66s remaining: 5.08s 567: learn: 0.1805100 total: 6.67s remaining: 5.08s 568: learn: 0.1803980 total: 6.7s remaining: 5.08s 569: learn: 0.1803182 total: 6.71s remaining: 5.06s 570: learn: 0.1801615 total: 6.73s remaining: 5.06s 571: learn: 0.1800804 total: 6.75s remaining: 5.05s 572: learn: 0.1799582 total: 6.76s remaining: 5.04s 573: learn: 0.1798576 total: 6.77s remaining: 5.02s 574: learn: 0.1797463 total: 6.78s remaining: 5.01s 575: learn: 0.1796623 total: 6.79s remaining: 5s 576: learn: 0.1795739 total: 6.81s remaining: 4.99s 577: learn: 0.1794471 total: 6.82s remaining: 4.98s 578: learn: 0.1793687 total: 6.83s remaining: 4.97s 579: learn: 0.1792839 total: 6.84s remaining: 4.96s 580: learn: 0.1791657 total: 6.86s remaining: 4.94s 581: learn: 0.1790882 total: 6.87s remaining: 4.93s 582: learn: 0.1789847 total: 6.88s remaining: 4.92s 583: learn: 0.1788346 total: 6.89s remaining: 4.91s 584: learn: 0.1787290 total: 6.9s remaining: 4.9s 585: learn: 0.1786197 total: 6.91s remaining: 4.88s 586: learn: 0.1784527 total: 6.92s remaining: 4.87s 587: learn: 0.1782553 total: 6.94s remaining: 4.86s 588: learn: 0.1781551 total: 6.95s remaining: 4.85s 589: learn: 0.1781372 total: 6.96s remaining: 4.83s 590: learn: 0.1779727 total: 6.98s remaining: 4.83s 591: learn: 0.1777964 total: 6.99s remaining: 4.82s 592: learn: 0.1777499 total: 7s remaining: 4.81s 593: learn: 0.1776275 total: 7.01s remaining: 4.79s 594: learn: 0.1774397 total: 7.03s remaining: 4.78s 595: learn: 0.1773503 total: 7.04s remaining: 4.77s 596: learn: 0.1772325 total: 7.05s remaining: 4.76s 597: learn: 0.1770856 total: 7.07s remaining: 4.75s 598: learn: 0.1769403 total: 7.08s remaining: 4.74s 599: learn: 0.1768515 total: 7.09s remaining: 4.73s 600: learn: 0.1767441 total: 7.1s remaining: 4.72s 601: learn: 0.1766262 total: 7.11s remaining: 4.7s 602: learn: 0.1765273 total: 7.12s remaining: 4.69s 603: learn: 0.1764036 total: 7.14s remaining: 4.68s 604: learn: 0.1762257 total: 7.15s remaining: 4.67s 605: learn: 0.1761647 total: 7.16s remaining: 4.65s 606: learn: 0.1761590 total: 7.17s remaining: 4.64s 607: learn: 0.1760378 total: 7.18s remaining: 4.63s 608: learn: 0.1759440 total: 7.19s remaining: 4.62s 609: learn: 0.1758305 total: 7.2s remaining: 4.6s 610: learn: 0.1757755 total: 7.21s remaining: 4.59s 611: learn: 0.1756891 total: 7.22s remaining: 4.58s 612: learn: 0.1755785 total: 7.23s remaining: 4.57s 613: learn: 0.1754380 total: 7.25s remaining: 4.55s 614: learn: 0.1752770 total: 7.25s remaining: 4.54s 615: learn: 0.1752005 total: 7.27s remaining: 4.53s 616: learn: 0.1751957 total: 7.28s remaining: 4.52s 617: learn: 0.1751259 total: 7.29s remaining: 4.51s 618: learn: 0.1750905 total: 7.3s remaining: 4.49s 619: learn: 0.1750595 total: 7.31s remaining: 4.48s 620: learn: 0.1749819 total: 7.32s remaining: 4.47s 621: learn: 0.1749092 total: 7.33s remaining: 4.46s 622: learn: 0.1748947 total: 7.35s remaining: 4.45s 623: learn: 0.1747980 total: 7.36s remaining: 4.43s 624: learn: 0.1747935 total: 7.37s remaining: 4.42s 625: learn: 0.1746831 total: 7.38s remaining: 4.41s 626: learn: 0.1745147 total: 7.39s remaining: 4.4s 627: learn: 0.1744199 total: 7.4s remaining: 4.38s 628: learn: 0.1743175 total: 7.42s remaining: 4.38s 629: learn: 0.1741886 total: 7.43s remaining: 4.37s 630: learn: 0.1740370 total: 7.45s remaining: 4.36s 631: learn: 0.1739736 total: 7.47s remaining: 4.35s 632: learn: 0.1738782 total: 7.51s remaining: 4.35s 633: learn: 0.1737199 total: 7.54s remaining: 4.35s 634: learn: 0.1735831 total: 7.55s remaining: 4.34s 635: learn: 0.1734707 total: 7.56s remaining: 4.33s 636: learn: 0.1733598 total: 7.57s remaining: 4.31s 637: learn: 0.1732882 total: 7.58s remaining: 4.3s 638: learn: 0.1731914 total: 7.61s remaining: 4.3s 639: learn: 0.1731204 total: 7.62s remaining: 4.28s 640: learn: 0.1731155 total: 7.63s remaining: 4.27s 641: learn: 0.1729386 total: 7.64s remaining: 4.26s 642: learn: 0.1728437 total: 7.65s remaining: 4.25s 643: learn: 0.1727032 total: 7.67s remaining: 4.24s 644: learn: 0.1726458 total: 7.68s remaining: 4.22s 645: learn: 0.1724882 total: 7.69s remaining: 4.21s 646: learn: 0.1724039 total: 7.7s remaining: 4.2s 647: learn: 0.1722750 total: 7.71s remaining: 4.19s 648: learn: 0.1721951 total: 7.73s remaining: 4.18s 649: learn: 0.1720746 total: 7.74s remaining: 4.17s 650: learn: 0.1719280 total: 7.75s remaining: 4.16s 651: learn: 0.1718146 total: 7.76s remaining: 4.14s 652: learn: 0.1716886 total: 7.78s remaining: 4.13s 653: learn: 0.1715496 total: 7.79s remaining: 4.12s 654: learn: 0.1714094 total: 7.8s remaining: 4.11s 655: learn: 0.1713024 total: 7.81s remaining: 4.09s 656: learn: 0.1712044 total: 7.82s remaining: 4.08s 657: learn: 0.1711367 total: 7.83s remaining: 4.07s 658: learn: 0.1709655 total: 7.85s remaining: 4.06s 659: learn: 0.1708677 total: 7.86s remaining: 4.05s 660: learn: 0.1707475 total: 7.88s remaining: 4.04s 661: learn: 0.1706432 total: 7.89s remaining: 4.03s 662: learn: 0.1705167 total: 7.91s remaining: 4.02s 663: learn: 0.1704640 total: 7.92s remaining: 4.01s 664: learn: 0.1703243 total: 7.94s remaining: 4s 665: learn: 0.1702021 total: 7.96s remaining: 3.99s 666: learn: 0.1700997 total: 7.97s remaining: 3.98s 667: learn: 0.1699750 total: 7.99s remaining: 3.97s 668: learn: 0.1698722 total: 8s remaining: 3.96s 669: learn: 0.1697772 total: 8.02s remaining: 3.95s 670: learn: 0.1696916 total: 8.03s remaining: 3.94s 671: learn: 0.1696053 total: 8.05s remaining: 3.93s 672: learn: 0.1695030 total: 8.07s remaining: 3.92s 673: learn: 0.1694322 total: 8.08s remaining: 3.91s 674: learn: 0.1693492 total: 8.09s remaining: 3.9s 675: learn: 0.1692757 total: 8.1s remaining: 3.88s 676: learn: 0.1691429 total: 8.11s remaining: 3.87s 677: learn: 0.1690004 total: 8.13s remaining: 3.86s 678: learn: 0.1689846 total: 8.14s remaining: 3.85s 679: learn: 0.1688398 total: 8.15s remaining: 3.83s 680: learn: 0.1687747 total: 8.16s remaining: 3.82s 681: learn: 0.1686597 total: 8.18s remaining: 3.81s 682: learn: 0.1685508 total: 8.19s remaining: 3.8s 683: learn: 0.1684821 total: 8.21s remaining: 3.79s 684: learn: 0.1683857 total: 8.22s remaining: 3.78s 685: learn: 0.1683807 total: 8.23s remaining: 3.77s 686: learn: 0.1682551 total: 8.24s remaining: 3.76s 687: learn: 0.1681654 total: 8.26s remaining: 3.75s 688: learn: 0.1680546 total: 8.27s remaining: 3.73s 689: learn: 0.1679746 total: 8.28s remaining: 3.72s 690: learn: 0.1678139 total: 8.29s remaining: 3.71s 691: learn: 0.1677047 total: 8.31s remaining: 3.7s 692: learn: 0.1676035 total: 8.32s remaining: 3.68s 693: learn: 0.1675030 total: 8.33s remaining: 3.67s 694: learn: 0.1673806 total: 8.34s remaining: 3.66s 695: learn: 0.1673110 total: 8.36s remaining: 3.65s 696: learn: 0.1672405 total: 8.37s remaining: 3.64s 697: learn: 0.1671714 total: 8.38s remaining: 3.62s 698: learn: 0.1670618 total: 8.39s remaining: 3.61s 699: learn: 0.1669677 total: 8.4s remaining: 3.6s 700: learn: 0.1668887 total: 8.41s remaining: 3.59s 701: learn: 0.1668183 total: 8.42s remaining: 3.58s 702: learn: 0.1667498 total: 8.43s remaining: 3.56s 703: learn: 0.1667455 total: 8.45s remaining: 3.55s 704: learn: 0.1666345 total: 8.46s remaining: 3.54s 705: learn: 0.1665305 total: 8.47s remaining: 3.52s 706: learn: 0.1664247 total: 8.48s remaining: 3.51s 707: learn: 0.1663964 total: 8.49s remaining: 3.5s 708: learn: 0.1662929 total: 8.51s remaining: 3.49s 709: learn: 0.1662082 total: 8.52s remaining: 3.48s 710: learn: 0.1660960 total: 8.54s remaining: 3.47s 711: learn: 0.1659138 total: 8.55s remaining: 3.46s 712: learn: 0.1657625 total: 8.57s remaining: 3.45s 713: learn: 0.1656688 total: 8.58s remaining: 3.44s 714: learn: 0.1655764 total: 8.59s remaining: 3.42s 715: learn: 0.1655089 total: 8.6s remaining: 3.41s 716: learn: 0.1654977 total: 8.61s remaining: 3.4s 717: learn: 0.1654078 total: 8.62s remaining: 3.39s 718: learn: 0.1652858 total: 8.63s remaining: 3.37s 719: learn: 0.1652321 total: 8.64s remaining: 3.36s 720: learn: 0.1651542 total: 8.65s remaining: 3.35s 721: learn: 0.1650656 total: 8.66s remaining: 3.34s 722: learn: 0.1650546 total: 8.68s remaining: 3.32s 723: learn: 0.1650073 total: 8.69s remaining: 3.31s 724: learn: 0.1648830 total: 8.7s remaining: 3.3s 725: learn: 0.1647960 total: 8.71s remaining: 3.29s 726: learn: 0.1647368 total: 8.72s remaining: 3.28s 727: learn: 0.1646843 total: 8.74s remaining: 3.26s 728: learn: 0.1645609 total: 8.75s remaining: 3.25s 729: learn: 0.1644341 total: 8.76s remaining: 3.24s 730: learn: 0.1643843 total: 8.77s remaining: 3.23s 731: learn: 0.1642496 total: 8.78s remaining: 3.21s 732: learn: 0.1641830 total: 8.79s remaining: 3.2s 733: learn: 0.1640662 total: 8.81s remaining: 3.19s 734: learn: 0.1640130 total: 8.82s remaining: 3.18s 735: learn: 0.1639074 total: 8.83s remaining: 3.17s 736: learn: 0.1637376 total: 8.84s remaining: 3.15s 737: learn: 0.1636380 total: 8.86s remaining: 3.14s 738: learn: 0.1635460 total: 8.87s remaining: 3.13s 739: learn: 0.1634725 total: 8.88s remaining: 3.12s 740: learn: 0.1633780 total: 8.89s remaining: 3.11s 741: learn: 0.1632791 total: 8.91s remaining: 3.1s 742: learn: 0.1631962 total: 8.92s remaining: 3.08s 743: learn: 0.1630881 total: 8.93s remaining: 3.07s 744: learn: 0.1629956 total: 8.94s remaining: 3.06s 745: learn: 0.1629209 total: 8.95s remaining: 3.05s 746: learn: 0.1628105 total: 8.96s remaining: 3.04s 747: learn: 0.1627116 total: 8.97s remaining: 3.02s 748: learn: 0.1626251 total: 8.99s remaining: 3.01s 749: learn: 0.1625193 total: 9s remaining: 3s 750: learn: 0.1624489 total: 9.02s remaining: 2.99s 751: learn: 0.1624415 total: 9.03s remaining: 2.98s 752: learn: 0.1624099 total: 9.04s remaining: 2.96s 753: learn: 0.1623383 total: 9.05s remaining: 2.95s 754: learn: 0.1622310 total: 9.06s remaining: 2.94s 755: learn: 0.1621414 total: 9.07s remaining: 2.93s 756: learn: 0.1620403 total: 9.08s remaining: 2.92s 757: learn: 0.1619330 total: 9.09s remaining: 2.9s 758: learn: 0.1619127 total: 9.1s remaining: 2.89s 759: learn: 0.1618353 total: 9.12s remaining: 2.88s 760: learn: 0.1617562 total: 9.13s remaining: 2.87s 761: learn: 0.1616607 total: 9.14s remaining: 2.85s 762: learn: 0.1616152 total: 9.15s remaining: 2.84s 763: learn: 0.1615220 total: 9.16s remaining: 2.83s 764: learn: 0.1613990 total: 9.17s remaining: 2.82s 765: learn: 0.1613179 total: 9.18s remaining: 2.81s 766: learn: 0.1612453 total: 9.19s remaining: 2.79s 767: learn: 0.1611728 total: 9.2s remaining: 2.78s 768: learn: 0.1610986 total: 9.21s remaining: 2.77s 769: learn: 0.1609737 total: 9.22s remaining: 2.75s 770: learn: 0.1609315 total: 9.24s remaining: 2.74s 771: learn: 0.1608828 total: 9.25s remaining: 2.73s 772: learn: 0.1607800 total: 9.26s remaining: 2.72s 773: learn: 0.1606663 total: 9.27s remaining: 2.71s 774: learn: 0.1606101 total: 9.28s remaining: 2.69s 775: learn: 0.1605254 total: 9.29s remaining: 2.68s 776: learn: 0.1604347 total: 9.31s remaining: 2.67s 777: learn: 0.1603468 total: 9.32s remaining: 2.66s 778: learn: 0.1603380 total: 9.33s remaining: 2.65s 779: learn: 0.1602401 total: 9.35s remaining: 2.64s 780: learn: 0.1601147 total: 9.36s remaining: 2.62s 781: learn: 0.1600200 total: 9.37s remaining: 2.61s 782: learn: 0.1599245 total: 9.38s remaining: 2.6s 783: learn: 0.1599215 total: 9.39s remaining: 2.59s 784: learn: 0.1598251 total: 9.4s remaining: 2.57s 785: learn: 0.1597688 total: 9.4s remaining: 2.56s 786: learn: 0.1596660 total: 9.43s remaining: 2.55s 787: learn: 0.1595745 total: 9.44s remaining: 2.54s 788: learn: 0.1594671 total: 9.45s remaining: 2.53s 789: learn: 0.1594142 total: 9.46s remaining: 2.52s 790: learn: 0.1592888 total: 9.47s remaining: 2.5s 791: learn: 0.1591740 total: 9.48s remaining: 2.49s 792: learn: 0.1591713 total: 9.5s remaining: 2.48s 793: learn: 0.1590811 total: 9.51s remaining: 2.47s 794: learn: 0.1589918 total: 9.52s remaining: 2.45s 795: learn: 0.1589362 total: 9.53s remaining: 2.44s 796: learn: 0.1588863 total: 9.54s remaining: 2.43s 797: learn: 0.1588040 total: 9.55s remaining: 2.42s 798: learn: 0.1587324 total: 9.56s remaining: 2.4s 799: learn: 0.1586267 total: 9.57s remaining: 2.39s 800: learn: 0.1585465 total: 9.58s remaining: 2.38s 801: learn: 0.1584594 total: 9.6s remaining: 2.37s 802: learn: 0.1583965 total: 9.61s remaining: 2.36s 803: learn: 0.1583377 total: 9.62s remaining: 2.35s 804: learn: 0.1582897 total: 9.63s remaining: 2.33s 805: learn: 0.1582173 total: 9.64s remaining: 2.32s 806: learn: 0.1581450 total: 9.66s remaining: 2.31s 807: learn: 0.1580468 total: 9.67s remaining: 2.3s 808: learn: 0.1579484 total: 9.68s remaining: 2.29s 809: learn: 0.1579079 total: 9.69s remaining: 2.27s 810: learn: 0.1578129 total: 9.7s remaining: 2.26s 811: learn: 0.1576901 total: 9.72s remaining: 2.25s 812: learn: 0.1576214 total: 9.73s remaining: 2.24s 813: learn: 0.1576171 total: 9.74s remaining: 2.23s 814: learn: 0.1575483 total: 9.76s remaining: 2.21s 815: learn: 0.1574569 total: 9.77s remaining: 2.2s 816: learn: 0.1573474 total: 9.78s remaining: 2.19s 817: learn: 0.1572841 total: 9.79s remaining: 2.18s 818: learn: 0.1571750 total: 9.8s remaining: 2.17s 819: learn: 0.1571078 total: 9.81s remaining: 2.15s 820: learn: 0.1570983 total: 9.82s remaining: 2.14s 821: learn: 0.1570043 total: 9.84s remaining: 2.13s 822: learn: 0.1568972 total: 9.85s remaining: 2.12s 823: learn: 0.1568506 total: 9.86s remaining: 2.11s 824: learn: 0.1567167 total: 9.87s remaining: 2.09s 825: learn: 0.1566347 total: 9.88s remaining: 2.08s 826: learn: 0.1565759 total: 9.89s remaining: 2.07s 827: learn: 0.1564648 total: 9.91s remaining: 2.06s 828: learn: 0.1563681 total: 9.92s remaining: 2.05s 829: learn: 0.1563026 total: 9.93s remaining: 2.03s 830: learn: 0.1562174 total: 9.94s remaining: 2.02s 831: learn: 0.1561052 total: 9.95s remaining: 2.01s 832: learn: 0.1559921 total: 9.96s remaining: 2s 833: learn: 0.1559301 total: 9.97s remaining: 1.99s 834: learn: 0.1558099 total: 9.98s remaining: 1.97s 835: learn: 0.1557220 total: 10s remaining: 1.96s 836: learn: 0.1556353 total: 10s remaining: 1.95s 837: learn: 0.1555951 total: 10s remaining: 1.94s 838: learn: 0.1555500 total: 10s remaining: 1.93s 839: learn: 0.1554529 total: 10s remaining: 1.91s 840: learn: 0.1553704 total: 10.1s remaining: 1.9s 841: learn: 0.1552825 total: 10.1s remaining: 1.89s 842: learn: 0.1552198 total: 10.1s remaining: 1.88s 843: learn: 0.1551433 total: 10.1s remaining: 1.86s 844: learn: 0.1550611 total: 10.1s remaining: 1.85s 845: learn: 0.1550558 total: 10.1s remaining: 1.84s 846: learn: 0.1549794 total: 10.1s remaining: 1.83s 847: learn: 0.1549682 total: 10.1s remaining: 1.82s 848: learn: 0.1548784 total: 10.1s remaining: 1.8s 849: learn: 0.1547512 total: 10.2s remaining: 1.79s 850: learn: 0.1546694 total: 10.2s remaining: 1.78s 851: learn: 0.1545895 total: 10.2s remaining: 1.77s 852: learn: 0.1545029 total: 10.2s remaining: 1.76s 853: learn: 0.1544059 total: 10.2s remaining: 1.75s 854: learn: 0.1543573 total: 10.2s remaining: 1.73s 855: learn: 0.1542433 total: 10.2s remaining: 1.72s 856: learn: 0.1541970 total: 10.2s remaining: 1.71s 857: learn: 0.1541113 total: 10.3s remaining: 1.7s 858: learn: 0.1540173 total: 10.3s remaining: 1.69s 859: learn: 0.1539566 total: 10.3s remaining: 1.67s 860: learn: 0.1539030 total: 10.3s remaining: 1.66s 861: learn: 0.1538135 total: 10.3s remaining: 1.65s 862: learn: 0.1537319 total: 10.3s remaining: 1.64s 863: learn: 0.1536289 total: 10.3s remaining: 1.63s 864: learn: 0.1535579 total: 10.3s remaining: 1.61s 865: learn: 0.1534640 total: 10.4s remaining: 1.6s 866: learn: 0.1533405 total: 10.4s remaining: 1.59s 867: learn: 0.1533042 total: 10.4s remaining: 1.58s 868: learn: 0.1532463 total: 10.4s remaining: 1.57s 869: learn: 0.1531861 total: 10.4s remaining: 1.56s 870: learn: 0.1530830 total: 10.4s remaining: 1.54s 871: learn: 0.1530312 total: 10.4s remaining: 1.53s 872: learn: 0.1529295 total: 10.5s remaining: 1.52s 873: learn: 0.1528491 total: 10.5s remaining: 1.51s 874: learn: 0.1527644 total: 10.5s remaining: 1.5s 875: learn: 0.1526991 total: 10.5s remaining: 1.48s 876: learn: 0.1526133 total: 10.5s remaining: 1.47s 877: learn: 0.1525504 total: 10.5s remaining: 1.46s 878: learn: 0.1524778 total: 10.5s remaining: 1.45s 879: learn: 0.1524084 total: 10.5s remaining: 1.44s 880: learn: 0.1523594 total: 10.5s remaining: 1.42s 881: learn: 0.1522771 total: 10.6s remaining: 1.41s 882: learn: 0.1521968 total: 10.6s remaining: 1.4s 883: learn: 0.1521446 total: 10.6s remaining: 1.39s 884: learn: 0.1520704 total: 10.6s remaining: 1.38s 885: learn: 0.1520221 total: 10.6s remaining: 1.36s 886: learn: 0.1519338 total: 10.6s remaining: 1.35s 887: learn: 0.1518273 total: 10.6s remaining: 1.34s 888: learn: 0.1517822 total: 10.6s remaining: 1.33s 889: learn: 0.1517415 total: 10.7s remaining: 1.32s 890: learn: 0.1516641 total: 10.7s remaining: 1.3s 891: learn: 0.1515946 total: 10.7s remaining: 1.29s 892: learn: 0.1515629 total: 10.7s remaining: 1.28s 893: learn: 0.1514838 total: 10.7s remaining: 1.27s 894: learn: 0.1514227 total: 10.7s remaining: 1.26s 895: learn: 0.1513505 total: 10.7s remaining: 1.24s 896: learn: 0.1512497 total: 10.7s remaining: 1.23s 897: learn: 0.1511925 total: 10.8s remaining: 1.22s 898: learn: 0.1510726 total: 10.8s remaining: 1.21s 899: learn: 0.1509608 total: 10.8s remaining: 1.2s 900: learn: 0.1508748 total: 10.8s remaining: 1.19s 901: learn: 0.1508668 total: 10.8s remaining: 1.17s 902: learn: 0.1507698 total: 10.8s remaining: 1.16s 903: learn: 0.1506968 total: 10.8s remaining: 1.15s 904: learn: 0.1506410 total: 10.8s remaining: 1.14s 905: learn: 0.1506182 total: 10.9s remaining: 1.13s 906: learn: 0.1505155 total: 10.9s remaining: 1.11s 907: learn: 0.1504653 total: 10.9s remaining: 1.1s 908: learn: 0.1503853 total: 10.9s remaining: 1.09s 909: learn: 0.1502524 total: 10.9s remaining: 1.08s 910: learn: 0.1502016 total: 10.9s remaining: 1.07s 911: learn: 0.1501247 total: 10.9s remaining: 1.05s 912: learn: 0.1500363 total: 10.9s remaining: 1.04s 913: learn: 0.1499925 total: 10.9s remaining: 1.03s 914: learn: 0.1499198 total: 11s remaining: 1.02s 915: learn: 0.1498561 total: 11s remaining: 1.01s 916: learn: 0.1498099 total: 11s remaining: 994ms 917: learn: 0.1497727 total: 11s remaining: 982ms 918: learn: 0.1496955 total: 11s remaining: 970ms 919: learn: 0.1496082 total: 11s remaining: 958ms 920: learn: 0.1495267 total: 11s remaining: 946ms 921: learn: 0.1494561 total: 11s remaining: 934ms 922: learn: 0.1493881 total: 11.1s remaining: 922ms 923: learn: 0.1493059 total: 11.1s remaining: 910ms 924: learn: 0.1492539 total: 11.1s remaining: 898ms 925: learn: 0.1491787 total: 11.1s remaining: 886ms 926: learn: 0.1491021 total: 11.1s remaining: 874ms 927: learn: 0.1489848 total: 11.1s remaining: 862ms 928: learn: 0.1489460 total: 11.1s remaining: 850ms 929: learn: 0.1488675 total: 11.1s remaining: 838ms 930: learn: 0.1488559 total: 11.1s remaining: 826ms 931: learn: 0.1487671 total: 11.2s remaining: 814ms 932: learn: 0.1487007 total: 11.2s remaining: 802ms 933: learn: 0.1486094 total: 11.2s remaining: 790ms 934: learn: 0.1485221 total: 11.2s remaining: 778ms 935: learn: 0.1484530 total: 11.2s remaining: 766ms 936: learn: 0.1483883 total: 11.2s remaining: 754ms 937: learn: 0.1483850 total: 11.2s remaining: 742ms 938: learn: 0.1483770 total: 11.2s remaining: 730ms 939: learn: 0.1483623 total: 11.3s remaining: 718ms 940: learn: 0.1482506 total: 11.3s remaining: 706ms 941: learn: 0.1481194 total: 11.3s remaining: 694ms 942: learn: 0.1480601 total: 11.3s remaining: 682ms 943: learn: 0.1480055 total: 11.3s remaining: 671ms 944: learn: 0.1479279 total: 11.3s remaining: 659ms 945: learn: 0.1478715 total: 11.3s remaining: 647ms 946: learn: 0.1478038 total: 11.3s remaining: 635ms 947: learn: 0.1477967 total: 11.4s remaining: 623ms 948: learn: 0.1477287 total: 11.4s remaining: 611ms 949: learn: 0.1476900 total: 11.4s remaining: 599ms 950: learn: 0.1476079 total: 11.4s remaining: 587ms 951: learn: 0.1475321 total: 11.4s remaining: 575ms 952: learn: 0.1474448 total: 11.4s remaining: 563ms 953: learn: 0.1473840 total: 11.4s remaining: 551ms 954: learn: 0.1473110 total: 11.4s remaining: 539ms 955: learn: 0.1472807 total: 11.5s remaining: 527ms 956: learn: 0.1472278 total: 11.5s remaining: 515ms 957: learn: 0.1471210 total: 11.5s remaining: 503ms 958: learn: 0.1470170 total: 11.5s remaining: 491ms 959: learn: 0.1469348 total: 11.5s remaining: 479ms 960: learn: 0.1468252 total: 11.5s remaining: 467ms 961: learn: 0.1467619 total: 11.5s remaining: 455ms 962: learn: 0.1466464 total: 11.5s remaining: 443ms 963: learn: 0.1465217 total: 11.5s remaining: 431ms 964: learn: 0.1464308 total: 11.6s remaining: 419ms 965: learn: 0.1463151 total: 11.6s remaining: 408ms 966: learn: 0.1463123 total: 11.6s remaining: 396ms 967: learn: 0.1462526 total: 11.6s remaining: 384ms 968: learn: 0.1461710 total: 11.6s remaining: 372ms 969: learn: 0.1460941 total: 11.7s remaining: 360ms 970: learn: 0.1460414 total: 11.7s remaining: 348ms 971: learn: 0.1459451 total: 11.7s remaining: 336ms 972: learn: 0.1458725 total: 11.7s remaining: 324ms 973: learn: 0.1458062 total: 11.7s remaining: 312ms 974: learn: 0.1457494 total: 11.7s remaining: 300ms 975: learn: 0.1457031 total: 11.7s remaining: 288ms 976: learn: 0.1455947 total: 11.7s remaining: 276ms 977: learn: 0.1455104 total: 11.7s remaining: 264ms 978: learn: 0.1453889 total: 11.8s remaining: 252ms 979: learn: 0.1453235 total: 11.8s remaining: 240ms 980: learn: 0.1452635 total: 11.8s remaining: 228ms 981: learn: 0.1452541 total: 11.8s remaining: 216ms 982: learn: 0.1452090 total: 11.8s remaining: 204ms 983: learn: 0.1451288 total: 11.8s remaining: 192ms 984: learn: 0.1450729 total: 11.8s remaining: 180ms 985: learn: 0.1449806 total: 11.8s remaining: 168ms 986: learn: 0.1449777 total: 11.9s remaining: 156ms 987: learn: 0.1448881 total: 11.9s remaining: 144ms 988: learn: 0.1448164 total: 11.9s remaining: 132ms 989: learn: 0.1447719 total: 11.9s remaining: 120ms 990: learn: 0.1447030 total: 11.9s remaining: 108ms 991: learn: 0.1445689 total: 11.9s remaining: 96.1ms 992: learn: 0.1444346 total: 11.9s remaining: 84.1ms 993: learn: 0.1443794 total: 11.9s remaining: 72ms 994: learn: 0.1442734 total: 11.9s remaining: 60ms 995: learn: 0.1441686 total: 12s remaining: 48ms 996: learn: 0.1440718 total: 12s remaining: 36ms 997: learn: 0.1440158 total: 12s remaining: 24ms 998: learn: 0.1439161 total: 12s remaining: 12ms 999: learn: 0.1438678 total: 12s remaining: 0us